DEPT OF STATISTICS & ACTUARIAL SCIENCE



Researcher : Chan WS

Project Title:Living To 100 and Beyond Society of Actuaries International Symposium The Lee-Carter Model for Forecasting Mortality Revisited
Investigator(s):Chan WS
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:01/2005




Researcher : Cheung KC

Project Title:Theory and applications of tail comonotonicity
Investigator(s):Cheung KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2013


Project Title:On optimal structures of reinsurance markets
Investigator(s):Cheung KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2016


List of Research Outputs

Asimit A.V., Bignozzi V., Cheung K.C., Hu J. and Kim E., Robust and Pareto optimality of insurance contracts, European Journal of Operational Research. Elsevier, 2017, 262: 720-732.
Cheung K.C., Associate editor, Insurance: Mathematics and Economics. 2018.
Cheung K.C., Dhaene J., RONG Y. and Yam S.C.P., Probabilistic solutions for a class of deterministic optimal allocation problems, Journal of Computational and Applied Mathematics. Elsevier, 2018, 336: 394-407.
ZHANG Y., Li X. and Cheung K.C., ON HETEROGENEITY IN THE INDIVIDUAL MODEL WITH BOTH DEPENDENT CLAIM OCCURRENCES AND SEVERITIES, ASTIN Bulletin. 2018, 48: 817-839.


Researcher : Cheung KCS

List of Research Outputs

Cheung K.C.S. and Cheung K.Y.T., Recommendation of hashtags in social Twitter network, In: Prof John Wang, International Journal of Data Analysis Techniques and Strategies. Inderscience Publishers, 2017, 9: 222.


Researcher : Choi OTK

List of Research Outputs

Choi O.T.K., Sample Survey Methods at Census & Statistics Department HKSARG, 2018.


Researcher : Fung TWK

Project Title:56th Session of the International Statistical Institute (Lisboa 2007) Estimating variance and covariance parameters by generalized estimating equations for credibility models
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:08/2007


Project Title:Research Output Prize
Investigator(s):Fung TWK, Hu Y
Department:Statistics & Actuarial Science
Source(s) of Funding:Research Output Prize (in Faculty)
Start Date:12/2009


Project Title:Likelihood methods for assessing association and parent-of-origin effects using case-control pedigrees
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015
Completion Date:02/2018


Project Title:RSS 2017 International Conference; Structural Identification and Variable Selection in High-Dimensional Varying-Coefficient Models
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2017
Completion Date:09/2017


List of Research Outputs

Duan X., Fung T.W.K. and Tang N., Bayesian semiparametric reproductive dispersion mixed models for non-normal longitudinal data: estimation and case influence analysis, Journal of Statistical Computation and Simulation. Taylor & Francis Group, 2017, 87: 1925-1939.
Fung T.W.K., Associate Editor, Computational Statistics. 2017.
Fung T.W.K., YU K., Yang Y. and Zhou J.Y., Efficient Monte Carlo evaluation of resampling-based hypothesis tests with applications to genetic epidemiology, Statistical Methods in Medical Research. SAGE, 2018, 27: 1437-1450.
Li J.L., Wang P., Fung T.W.K. and Zhou J.Y., Generalized disequilibrium test for association in qualitative traits incorporating imprinting effects based on extended pedigrees, BMC Genetics. 2017, 18: pp1-12.
Lin H., Qin G., Zhang J. and Fung T.W.K., Doubly robust estimation of partially linear models for longitudinal data with dropouts and measurement error in covariates, Statistics. Taylor & Francis Group, 2018, 52: 84-98.
YU K., Zhou J.Y. and Fung T.W.K., Detection of Imprinting Effects for Quantitative Traits on X Chromosome Using Nuclear Families with Multiple Daughters, Annals of Human Genetics. John Wiley & Sons, Ltd./University College London, 2017, 81: 147-160.
YU K. and Fung T.W.K., Evaluation of parentage testing accuracy of child trafficking cases: Combining the exclusion probability and likelihood ratio approaches, Forensic Science International: Genetics. Elsevier B.V., 2018, 34: 81-87.
Yang Q., Fung T.W.K. and Li G., Sample size determination for jointly testing a cause-specific hazard and the all-cause hazard in the presence of competing risks, Statistics in Medicine. John Wiley & Sons, Ltd., 2018, 37: 1389-1401.
Zhao H. and Fung T.W.K., Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies, TEST. Springer, 2018, 27: 316-337.


Researcher : HAN X

List of Research Outputs

HAN X., WEI B. and Yang H., INDEX OPTIONS AND VOLATILITY DERIVATIVES IN A GAUSSIAN RANDOM FIELD RISK-NEUTRAL DENSITY MODEL, International Journal of Theoretical and Applied Finance. World Scientific, 2018, 21: 1850014.


Researcher : Jiang F

Project Title:The independent component approach for estimating heritability
Investigator(s):Jiang F
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research for New Staff
Start Date:06/2017
Completion Date:06/2018


Project Title:Investigations on the censored quantile regression with time dependent covariates, B-spline measurement error estimation, and reflected non-local priors.
Investigator(s):Jiang F
Department:Statistics & Actuarial Science
Source(s) of Funding:Early Career Scheme (ECS)
Start Date:09/2017


List of Research Outputs

Au K.Y., Chen H., Lam W.C., Chong C.O., Lau A., Vardhanabhuti V., Mak K.C., Jiang F., Lam W.Y., Wu F.M., Chan H.N., Ng Y.W., Ng B.F.L., Ziea E.T. and Lao L., Sinew acupuncture for knee osteoarthritis: study protocol for a randomized sham-controlled trial, BMC Complementary and Alternative Medicine. 2018, 18.


Researcher : Kwan CW

List of Research Outputs

Chong A.L.I.C.E. .M...L., Kwan C.W., Lou V.W. and Chi I.R.I.S., Can domestic helpers moderate distress of offspring caregivers of cognitively impaired older adults?, Aging & Mental Health. 2017, 21: 1023-1030.


Researcher : LAM CK

List of Research Outputs

Yin G., LAM C.K. and SHI H., Bayesian randomized clinical trials: from fixed to adaptive design, Contemporary Clinical Trials. Elsevier Inc., 2017, 59: 77-86.


Researcher : LI Z

List of Research Outputs

LI Z. and Yao J.J., Testing for heteroscedasticity in high-dimensional regressions, Econometrics and Statistics. 2018.


Researcher : LIU Y

List of Research Outputs

LIU Y. and Yin G., AVERAGE HOLDING PRICE, Annals of Financial Economics. World Scientific, 2018, 13(1): 1850002.


Researcher : Lam KF

List of Research Outputs

LIU Y., Lam K.F., Wu J.T.K. and Lam T.Y., Geographically weighted temporally correlated logistic regression model, Scientific Reports. 2018, 8(1): 1417.
Lam K.F., XU J. and XUE H., Estimation of age effect with change-points on survival of cancer patients, In: Ralph D'Agostino, Simon Day, Els Goetghebeur and Joel Greenhouse, Statistics In Medicine. Wiley, 2018, 37: 1732-1743.
Lam K.F., Statistical Advisor, In: Winnie C.W. Chu, Hong Kong Journal of Radiology. 2017.
Sun K.S., Lam T.P., Lam K.F. and Lo T.L., Barriers and facilitators for psychiatrists in managing mental health patients in Hong Kong—Impact of Chinese culture and health system, Asia-Pacific Psychiatry. 2018, 10.
Sun K.S., Lam T.P., Lam K.F., Lo T.L., Chao D.V.K. and Lam W.W., Enablers to seeking professional help for psychological distress – a study on Chinese primary care attenders, Psychiatry Research. 2018, 264: 9-14.
Sun K.S., Lam T.P., Lam K.F., Piterman L., Lo T.L., Chao D.V.K. and Lam W.W., Help-seeking behaviours for psychological distress amongst Chinese patients, PLoS One. 2017.
WONG T.S.T., Lam K.F. and ZHAO V.X., Asymptotic Null Distribution Of The Modified Likelihood Ratio Test For Homogeneity In Finite Mixture Models, In: AM Colubi, JC Lee, EJ Kontoghiorghes, Computational Statistics and Data Analysis. Elsevier, 2018, 127: 248-257.
WU D., Lam T.P., Lam K.F., Zhou X.D. and Sun K.S., Challenges to healthcare reform in China: profit-oriented medical practices, patients' choice of care and guanxi culture in Zhejiang province, Health Policy and Planning. 2017, 1-7.
WU D., Lam T.P., Lam K.F., Zhou X.D. and Sun K.S., Doctors' views of patient expectations of medical care in Zhejiang Province, China, International Journal for Quality in Health Care. 2017, 29: 867-873.
WU D., Lam T.P., Lam K.F., Zhou X.D. and Sun K.S., Public views towards community health and hospital-based outpatient services and their utilisation in Zhejiang, China: a mixed methods study, BMJ Open. 2017, 7: e017611.
XU J., Lam K.F., Chen F., Milligan P. and Cheung Y.B., Semiparametric estimation of time-varying intervention effects using recurrent event data, Statistics in Medicine. 2017, 36: 2682-2696.
Yau T.W.D., Wong M.C.M., Lam K.F. and McGrath C.P.J., Longitudinal measurement invariance and explanatory IRT models for adolescents' oral health-related quality of life, Health and Quality of Life Outcomes. 2018, 16: 60.


Researcher : Lee D

List of Research Outputs

Krupskii P., Joe H., Lee D. and Genton M.G., Extreme-value limit of the convolution of exponential and multivariate normal distributions: Link to the Hüsler–Reiß distribution, Journal of Multivariate Analysis. Elsevier, 2018, 163: 80-95.
Lee D. and Joe H., Multivariate extreme value copulas with factor and tree dependence structures, Extremes. Springer, 2018, 21: 147-176.
Lee D., Joe H. and Krupskii P., Tail-weighted dependence measures with limit being the tail dependence coefficient, Journal of Nonparametric Statistics. Taylor & Francis, 2018, 30: 262-290.


Researcher : Lee SMS

Project Title:Consistent bootstrap procedures for post-model-selection inference under linear regression models
Investigator(s):Lee SMS
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2016


List of Research Outputs

Kuffner T.A., Lee S.M.S. and Young G.A., Consistency of a hybrid block bootstrap for distribution and variance estimation for sample quantiles of weakly dependent sequences, Australian & New Zealand Journal of Statistics. 2018, 60: 103-114.
Lee S.M.S., Associate Editor, In: A. DasGupta, H. Dette, W.-L. Loh, Journal of Statistical Planning and Inference. 2018.
Lee S.M.S., m-Out-of-n Bootstrap, In: N. Balakrishnan, Theodore Colton, Brian Everitt, Walter Piegorsch, Fabrizio Ruggeri, Jozef L. Teugels, Wiley StatsRef: Statistics Reference Online. Chichester, UK, John Wiley & Sons, Ltd, 2017, 1-9.


Researcher : Li G

Project Title:Linear double autoregressive time series models and its conditional quantile inference
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:10/2016


Project Title:Quantile double autoregression
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2017


Project Title:The 10th International Conference on Computational and Methodological Statistics (CMStatistics 2017) ; Hybrid quantile regression estimation for time series models with conditional heteroscedasticity
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:12/2017
Completion Date:12/2017


Project Title:Estimating conditional quantiles of time series models with conditional heteroscedasticity
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2018


List of Research Outputs

Li G., Associate Editor, Computational Statistics. 2017.
ZHENG Y., Li W.K. and Li G., A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models, Biometrika. UK, Biometrika Trust, 2018, 105: 73-89.


Researcher : Li WK

Project Title:The buffer process: a new type of threshold time series model
Investigator(s):Li WK, Li G, Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2012


Project Title:On the generalized conditional autoregressive Wishart process and its extensions
Investigator(s):Li WK, Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015


Project Title:HKU Centennial Distinguished Chinese Scholars Scheme 2015-16
Investigator(s):Li WK
Department:Statistics & Actuarial Science
Source(s) of Funding:HKU Centennial Distinguished Chinese Scholars Scheme
Start Date:09/2015


Project Title:Statistical inferences for possibly nonstationary and nonlinear time series models with a hysteretic (buffered) structure
Investigator(s):Li WK, Li G, Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2017


List of Research Outputs

SHEN K., Yao J.J. and Li W.K., Forecasting high-dimensional realized volatility matrices using a factor model, Quantitative Finance. 2018, 1-9.
SHEN K., Yao J.J. and Li W.K., On the surprising explanatory power of higher realized moments in practice, Statistics and Its Interface. 2018, 11: 153-168.
Wat K.P., Yuen K.C., Li W.K. and Wu X., On the compound binomial risk model with delayed claims and randomized dividends, Risks. 2018, 6(1),6: 1-13.
Yu P.L.H., Li W.K. and NG F.C., The generalized conditional autoregressive Wishart model for multivariate stochastic volatility, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 513-527.
ZHENG Y., Li W.K. and Li G., A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models, Biometrika. UK, Biometrika Trust, 2018, 105: 73-89.
Zhu K., Li W.K. and Yu P.L.H., Buffered autoregressive models with conditional heteroscedasticity: An application to exchange rates, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 528-542.


Researcher : Liu Z

List of Research Outputs

Brunst K., Tignor N., Just A., Liu Z., Lin X., Hacker M., Bosquet Enlow M., Wright R., Wang P., Baccarelli A. and Wright R., Cumulative lifetime maternal stress and epigenome-wide placental DNA methylation in the PRISM cohort, Epigenetics. 2018, 13: 665-681.
Liu Z. and Lin X., Multiple phenotype association tests using summary statistics in genome-wide association studies, Biometrics. 2018, 74: 165-175.


Researcher : NG FC

List of Research Outputs

Yu P.L.H., Li W.K. and NG F.C., The generalized conditional autoregressive Wishart model for multivariate stochastic volatility, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 513-527.


Researcher : Ng KW

Project Title:Compositional Data Analysis Workshop (CoDaWork'03) Compositional Hypotheses of Subcompositional Stability and Specific Perturbation Change and Their Testing
Investigator(s):Ng KW
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:10/2003


Project Title:Research Output Prize (Faculty of Science)
Investigator(s):Ng KW
Department:Statistics & Actuarial Science
Source(s) of Funding:Research Output Prize (in Faculty)
Start Date:01/2013




Researcher : RONG Y

List of Research Outputs

Cheung K.C., Dhaene J., RONG Y. and Yam S.C.P., Probabilistic solutions for a class of deterministic optimal allocation problems, Journal of Computational and Applied Mathematics. Elsevier, 2018, 336: 394-407.


Researcher : SHEN K

List of Research Outputs

SHEN K., Yao J.J. and Li W.K., Forecasting high-dimensional realized volatility matrices using a factor model, Quantitative Finance. 2018, 1-9.
SHEN K., Yao J.J. and Li W.K., On the surprising explanatory power of higher realized moments in practice, Statistics and Its Interface. 2018, 11: 153-168.


Researcher : SHI H

List of Research Outputs

SHI H. and Yin G., Boosting conditional logit model, Journal of Choice Modelling. 2018, 26: 48-63.
SHI H. and Yin G., Landmark cure rate models with time-dependent covariates, Statistical Methods in Medical Research. SAGE Publications, 2017, 26(5): 2042-2054.
SHI H. and Yin G., Two-stage seamless transition design from open-label single-arm to randomized double-arm clinical trials, Statistical Methods in Medical Research. SAGE, 2018, 27: 158-171.
Yin G., LAM C.K. and SHI H., Bayesian randomized clinical trials: from fixed to adaptive design, Contemporary Clinical Trials. Elsevier Inc., 2017, 59: 77-86.


Researcher : Tong H

Project Title:Distinguished Visiting Professors in the Department of Statistics and Actuarial Science
Investigator(s):Tong H
Department:Statistics & Actuarial Science
Source(s) of Funding:Distinguished Research Achievement Award
Start Date:05/2005




Researcher : WANG X

List of Research Outputs

Yu P.L.H., WANG X. and ZHU Y., High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood, Computational Statistics and Data Analysis. Elsevier, 2017, 114: 12-25.


Researcher : WEI B

List of Research Outputs

HAN X., WEI B. and Yang H., INDEX OPTIONS AND VOLATILITY DERIVATIVES IN A GAUSSIAN RANDOM FIELD RISK-NEUTRAL DENSITY MODEL, International Journal of Theoretical and Applied Finance. World Scientific, 2018, 21: 1850014.


Researcher : Wat KP

List of Research Outputs

Wat K.P., University Teaching Feedback Award, The University of Hong Kong. 2017.


Researcher : Woo JK

Project Title:On the joint analysis of time-dependent multivariate aggregate claims in a Markovian environment
Investigator(s):Woo JK
Department:Statistics & Actuarial Science
Source(s) of Funding:France/Hong Kong Joint Research Scheme - Travel Grants
Start Date:01/2016


List of Research Outputs

Woo J.K., XU R. and Yang H., Gerber–Shiu analysis with two-sided acceptable levels, Journal of Computational and Applied Mathematics. 2017, 321: 185-210.


Researcher : XU H

List of Research Outputs

XU H., Alvo M... and Yu P.L.H., Angle-based models for ranking data, Computational Statistics and Data Analysis. 2018, 121: 113-136.


Researcher : XU J

List of Research Outputs

Lala A., Guo Y., Xu J., Esposito M., Morine K., Karas R., Katz S., Hochman J., Burkhoff D. and Kapur N., Right Ventricular Dysfunction in Acute Myocardial Infarction Complicated by Cardiogenic Shock: A Hemodynamic Analysis of the Should We Emergently Revascularize Occluded Coronaries for Cardiogenic Shock (SHOCK) Trial and Registry, Journal of Cardiac Failure. 2018, 24: 148-156.
Lam K.F., XU J. and XUE H., Estimation of age effect with change-points on survival of cancer patients, In: Ralph D'Agostino, Simon Day, Els Goetghebeur and Joel Greenhouse, Statistics In Medicine. Wiley, 2018, 37: 1732-1743.
XU J., Lam K.F., Chen F., Milligan P. and Cheung Y.B., Semiparametric estimation of time-varying intervention effects using recurrent event data, Statistics in Medicine. 2017, 36: 2682-2696.


Researcher : XU R

List of Research Outputs

Woo J.K., XU R. and Yang H., Gerber–Shiu analysis with two-sided acceptable levels, Journal of Computational and Applied Mathematics. 2017, 321: 185-210.


Researcher : Xu J

Project Title:Nonparametric Maximum Likelihood and Profile Minorization-Maximiation Methods for correlated failure time data
Investigator(s):Xu J
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:01/2017


Project Title:Effective analysis of population pharmacokinetic data with applications to drug development and optimal treatment strategy discovery
Investigator(s):Xu J
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Translational and Applied Research
Start Date:01/2018


List of Research Outputs

Lala A., Guo Y., Xu J., Esposito M., Morine K., Karas R., Katz S., Hochman J., Burkhoff D. and Kapur N., Right Ventricular Dysfunction in Acute Myocardial Infarction Complicated by Cardiogenic Shock: A Hemodynamic Analysis of the Should We Emergently Revascularize Occluded Coronaries for Cardiogenic Shock (SHOCK) Trial and Registry, Journal of Cardiac Failure. 2018, 24: 148-156.
Lam K.F., XU J. and XUE H., Estimation of age effect with change-points on survival of cancer patients, In: Ralph D'Agostino, Simon Day, Els Goetghebeur and Joel Greenhouse, Statistics In Medicine. Wiley, 2018, 37: 1732-1743.
XU J., Lam K.F., Chen F., Milligan P. and Cheung Y.B., Semiparametric estimation of time-varying intervention effects using recurrent event data, Statistics in Medicine. 2017, 36: 2682-2696.


Researcher : YU K

List of Research Outputs

Fung T.W.K., YU K., Yang Y. and Zhou J.Y., Efficient Monte Carlo evaluation of resampling-based hypothesis tests with applications to genetic epidemiology, Statistical Methods in Medical Research. SAGE, 2018, 27: 1437-1450.
YU K., Zhou J.Y. and Fung T.W.K., Detection of Imprinting Effects for Quantitative Traits on X Chromosome Using Nuclear Families with Multiple Daughters, Annals of Human Genetics. John Wiley & Sons, Ltd./University College London, 2017, 81: 147-160.
YU K. and Fung T.W.K., Evaluation of parentage testing accuracy of child trafficking cases: Combining the exclusion probability and likelihood ratio approaches, Forensic Science International: Genetics. Elsevier B.V., 2018, 34: 81-87.


Researcher : Yang H

Project Title:15th Applied Stochastic Models and Data Analysis International Conference (ASMDA 2013); Some results on exponential stopping of Brownian motion and their applications
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:06/2013


Project Title:Outstanding Researcher Award 2013-14
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:Outstanding Researcher Award
Start Date:12/2014


Project Title:60th ISI World Statistics Congress -ISI2015; Exponential stopping of jump-diffusion processes and applications
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2015


Project Title:Joint analysis of path-dependent quantities in insurance risk processes
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:07/2016


Project Title:A study on optimal policies for insurance companies
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


Project Title:Nonparametric and Numerical Methods for Problems in Insurance Risk Models
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:04/2017


Project Title:Properties of Stopped Random Processes and Their Applications
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:04/2018


Project Title:International Congress of Actuaries (ICA) 2018; Valuation Of Guaranteed Minimum Death Benefits
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:06/2018
Completion Date:06/2018


List of Research Outputs

Chen S., Yang H. and Zeng Y., STOCHASTIC DIFFERENTIAL GAMES BETWEEN TWO INSURERS WITH GENERALIZED MEAN-VARIANCE PREMIUM PRINCIPLE, ASTIN Bulletin. Cambridge University Press, 2018, 48: 413-434.
Guo F., Wang D. and Yang H., Asymptotic results for ruin probability in a two-dimensional risk model with stochastic investment returns, Journal of Computational and Applied Mathematics. 2017, 325: 198-221.
HAN X., WEI B. and Yang H., INDEX OPTIONS AND VOLATILITY DERIVATIVES IN A GAUSSIAN RANDOM FIELD RISK-NEUTRAL DENSITY MODEL, International Journal of Theoretical and Applied Finance. World Scientific, 2018, 21: 1850014.
Li D., Zeng Y. and Yang H., Robust optimal excess-of-loss reinsurance and investment strategy for an insurer in a model with jumps, Scandinavian Actuarial Journal. 2018, 2018: 145-171.
Meng H., Siu T.K. and Yang H., A note on optimal insurance risk control with multiple reinsurers, Journal of Computational and Applied Mathematics. 2017, 319: 38-42.
Siu C.C., Yam S.C.P., Yang H. and Zhao H., A class of nonzero-sum investment and reinsurance games subject to systematic risks, Scandinavian Actuarial Journal. 2017, 2017: 670-707.
Woo J.K., XU R. and Yang H., Gerber–Shiu analysis with two-sided acceptable levels, Journal of Computational and Applied Mathematics. 2017, 321: 185-210.
Yang H., Associate Editor, Journal of Industrial and Management Optimization (JIMO). 2018.
Yang H., Associate Editor, North American Actuarial Journal. 2018.
Yang H., Associate Editor, Stochastics: An International Journal of Probability and Stochastic Processes. 2018.
Yang H., Editor, Insurance: Mathematics and Economics. 2018.
Yang H., Editorial Board Member, Statistical Theory and Related Fields. 2018.
Yang H., Series Editor, Book Series of Advances in Statistics, Probability and Actuarial Science. World Scientific, 2018.
Yang H., Series Editor, Springer Actuarial Series. 2018.
Yang H., Valuing Equity-linked Insurance Products, IMA Workshop on Financial and Economic Applications, Minneapolis, USA, June 11-15, 2018. 2018.
Zhang Z., Cheung E.C.K. and Yang H., ON THE COMPOUND POISSON RISK MODEL WITH PERIODIC CAPITAL INJECTIONS, ASTIN Bulletin. Cambridge University Press, 2018, 48: 435-477.


Researcher : Yao J.J.

Project Title:Test of dependence between a large set and a small set of variables
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2015


Project Title:Heavy-tailed large sample covariance matrices and applications
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


List of Research Outputs



Researcher : Yao JJ

Project Title:Test of dependence between a large set and a small set of variables
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2015


Project Title:Heavy-tailed large sample covariance matrices and applications
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


List of Research Outputs

LI W.M. and Yao J.J., On structure testing for component covariance matrices of a high dimensional mixture, Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2018, 80: 293-318.
LI Z. and Yao J.J., Testing for heteroscedasticity in high-dimensional regressions, Econometrics and Statistics. 2018.
SHEN K., Yao J.J. and Li W.K., Forecasting high-dimensional realized volatility matrices using a factor model, Quantitative Finance. 2018, 1-9.
SHEN K., Yao J.J. and Li W.K., On the surprising explanatory power of higher realized moments in practice, Statistics and Its Interface. 2018, 11: 153-168.
Yao J.J., Associate Editor, In: A.M. Colubi, E.J. Kontoghiorghes, B.U. Park, Computational Statistics & Data Analysis. 2018.
Yao J.J., Associate Editor, ESAIM: Proceedings. EDP Sciences, 2018.
Yao J.J., Associated Editor, Random Matrices: Theory and Applications. World Scientific Publishing, 2018.
Yao J.J., Fellow of the Institute of Mathematical Statistics, Institute of Mathematical Statistics. 2018.
Yao J.J., Large sample covariance matrices and their application to high-dimensional statistics, Random Matrices and Their Applications Workshop, Kyoto University, May 2018. 2018.
Yao J.J., On structure testing for component covariance matrices of a high-dimensional mixture., Joint Statistical Meeting 2017, Baltimore, July 30 - August 4, 2017.. 2017.


Researcher : Yin G

Project Title:Robust Detection of Multiple Change-Points with High-dimensional Data
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:07/2016


Project Title:Matching Survival and Quantile Estimation for Right Censored Data
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:06/2017
Completion Date:05/2018


Project Title:European Meeting of Statisticians; Bayesian Change-Point Detection for Ordinal Data with North Atlantic Tropical Cyclones
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2017
Completion Date:07/2017


Project Title:Metric-based Reinforcement Nearest-Neighbor Tree Partition
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2018


List of Research Outputs

Duan X. and Yin G., Ensemble approaches to estimating the population mean with missing response, Scandinavian Journal of Statistics. Wiley Publishing Ltd., 2017, 44: 899-917.
LIU Y. and Yin G., AVERAGE HOLDING PRICE, Annals of Financial Economics. World Scientific, 2018, 13(1): 1850002.
Lin R. and Yin G., STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials, Statistics in Medicine. John Wiley & Sons, Ltd., 2017, 36: 4106-4120.
Liu Y. and Yin G., Partitioned log-rank tests for the overall homogeneity of hazard rate functions, Lifetime Data Analysis. Springer, 2017, 23(3): 400-425.
SHI H. and Yin G., Boosting conditional logit model, Journal of Choice Modelling. 2018, 26: 48-63.
SHI H. and Yin G., Landmark cure rate models with time-dependent covariates, Statistical Methods in Medical Research. SAGE Publications, 2017, 26(5): 2042-2054.
SHI H. and Yin G., Two-stage seamless transition design from open-label single-arm to randomized double-arm clinical trials, Statistical Methods in Medical Research. SAGE, 2018, 27: 158-171.
Yin G., LAM C.K. and SHI H., Bayesian randomized clinical trials: from fixed to adaptive design, Contemporary Clinical Trials. Elsevier Inc., 2017, 59: 77-86.
Zhang J., Yin G., Liu Y. and Wu Y., Censored cumulative residual independent screening for ultrahigh-dimensional survival data, Lifetime Data Analysis. 2018, 24: 273-292.
Zhao X., Wu Y. and Yin G., Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters, Bernoulli. ISI/BS, 2017, 23(4B): 3385-3411.


Researcher : Yip PSF

Project Title:22nd World Congress of the International Association for Suicide Preventation (IASP) Social Burden of Suicide Risk in Hong Kong
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2003


Project Title:IBC 2004 XXIInd International Biometric Conference in Parallel with ASC 2004 Australian Statistical Conference A Unification Method of Estimating Population Size via Capture-recapture Experiments
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2004


Project Title:XVIII World Congress of the International Association for Suicide Prevention Suicide in Three Chinese Communities: China, Taiwan and Hong Kong
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2005


Project Title:HKU Overseas Fellowship Awards 2009-10
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:HKU Overseas Fellowship Awards
Start Date:09/2009


Project Title:Outstanding Researcher Award 2008-2009
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Outstanding Researcher Award
Start Date:12/2009


Project Title:Outstanding Research Student Supervisor Award 2010-11
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Outstanding Research Student Supervisor Award
Start Date:12/2011


Project Title:An Integrated Study of the Population Policy for Hong Kong
Investigator(s):Yip PSF, Cheung PTY, Lam KF, Lum TYS
Department:Soc Work & Social Administration
Source(s) of Funding:Strategic Public Policy Research
Start Date:03/2013


Project Title:World Congress for Suicide Prevention IASP; Stigma: A Major Barrier For Suicide Prevention /Suicidal Behaviors In Hong Kong: An Update /A Study On The Mutual Causation Of Suicide Reporting And Suicide Incidences
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2013


Project Title:A temporal spatial analysis of morbidity and mortality for Hong Kong population
Investigator(s):Yip PSF, Chang S
Department:Soc Work & Social Administration
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2014
Completion Date:10/2017


Project Title:A Study on the demographics of older adults in Hong Kong
Investigator(s):Yip PSF
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:The Hong Kong Jockey Club Charities Trust - General Award
Start Date:04/2015


Project Title:Assessing the socioeconomic costs of drug abuse in Hong Kong SAR
Investigator(s):Yip PSF, Laidler KA
Department:Soc Work & Social Administration
Source(s) of Funding:Beat Drugs Fund
Start Date:06/2015


Project Title:Study on Identifying and Locating Poor Elderly in Hong Kong
Investigator(s):Yip PSF
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:Oxfam Hong Kong
Start Date:07/2016


Project Title:A Study on Population Dynamics in One Belt One Road: Opportunities and Challenges
Investigator(s):Yip PSF, Kwok CL
Department:Soc Work & Social Administration
Source(s) of Funding:Public Policy Research Funding Scheme
Start Date:09/2016
Completion Date:08/2017


Project Title:The effect of individual- and neighborhood- socioeconomic status on older adult’s health: a cross-sectional and prospective cohort study in Hong Kong
Investigator(s):Yip PSF, Chan CH, Lum TYS
Department:Soc Work & Social Administration
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


Project Title:Construction of a Population Wellbeing index
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2017
Completion Date:04/2018


Project Title:Connect Vulnerable Youth by Activating Their Social Networks
Investigator(s):Yip PSF, Cheng Q
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:Hongkong Bank Foundation General Award
Start Date:07/2017


Project Title:29th IASP World Congress malaysia; "A spatial and temporal analysis of suicides and “hotspots” for suicide prevention" : Hong Kong Experiences
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2017
Completion Date:07/2017


Project Title:Online Crisis Support Service for Youth Project
Investigator(s):Yip PSF, Cheng Q
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:The Hong Kong Jockey Club Charities Trust - General Award
Start Date:09/2017


Project Title:An early warning system for self harm behavior
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2018




Researcher : Yu PLH

Project Title:Development of Data Mining Labs using SAS Enterprise Miner Version 5
Investigator(s):Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:Run Run Shaw Research and Teaching Endowment Fund - Teaching Grants
Start Date:06/2007


Project Title:A Unified Framework for Bridging the Gap between Nonparametric and Parametric Inferences based on Ranking Data
Investigator(s):Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015


Project Title:10th Conference of the IASC-ARS/68th Annual NZSA Conference; Deep Learning High-Dimensional Covariance Matrices
Investigator(s):Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:12/2017
Completion Date:12/2017


List of Research Outputs

Alvo M., Lai T.L. and Yu P.L.H., Parametric embedding of nonparametric inference problems, Journal of Statistical Theory and Practice. 2018, 12: 151-164.
XU H., Alvo M... and Yu P.L.H., Angle-based models for ranking data, Computational Statistics and Data Analysis. 2018, 121: 113-136.
Yu P.L.H., Associate Editor, Computational Statistics. 2017.
Yu P.L.H., Associate Editor, In: Dr. Chia-Lin Chang and Dr. Michael McAleer, Journal of Health & Medical Economics. 2017.
Yu P.L.H., Associate Editor, In: Dr. Michael McAleer, Journal of Informatics and Data Mining. 2017.
Yu P.L.H., Associate Editor, Statistics, Optimization and Information Computing. 2017.
Yu P.L.H., WANG X. and ZHU Y., High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood, Computational Statistics and Data Analysis. Elsevier, 2017, 114: 12-25.
Yu P.L.H., Li W.K. and NG F.C., The generalized conditional autoregressive Wishart model for multivariate stochastic volatility, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 513-527.
Zhu K., Li W.K. and Yu P.L.H., Buffered autoregressive models with conditional heteroscedasticity: An application to exchange rates, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 528-542.


Researcher : Yuen KC

Project Title:On Some Actuarial Problems for Risk Models with Dependence
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2014


Project Title:Optimality Studies for Contemporary Insurance Models
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


Project Title:Empirical likelihood-based U-structured statistical inference for high-dimensional data
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:06/2018


List of Research Outputs

Dong Y., Yuen K.C. and Wang G., Pricing credit derivatives under a correlated regime-switching hazard process, Journal of Industrial and Management Optimization. American Institute of Mathematical Sciences, 2017, 13: 1395-1415.
Dong Y., Yuen K.C. and Wang G., Regime-switching pure jump processes and applications in the valuation of mortality-linked products, Communications in Statistics - Theory and Methods. 2018, 47(6): 1372-1391.
Dong Y., Yuen K.C. and Wang G., Valuation of CDS counterparty risk under a reduced-form model with regime-switching shot noise default intensities, Frontiers of Mathematics in China. Springer, 2017, 12(5): 1085-1112.
Liang Z., Yuen K.C. and Zhang C., Optimal reinsurance and investment in a jump-diffusion financial market with common shock dependence, Journal of Applied Mathematics and Computing. 2018, 56: 637-664.
Wat K.P., Yuen K.C., Li W.K. and Wu X., On the compound binomial risk model with delayed claims and randomized dividends, Risks. 2018, 6(1),6: 1-13.
Yang Y., Zhang T. and Yuen K.C., Asymptotics for finite-time ruin probability in a dependent discrete-time risk model with CMC simulations, Journal of Computational and Applied Mathematics. Elsevier, 2017, 321: 143-159.
Yang Y., Yuen K.C. and Liu J., Asymptotics for ruin probabilities in Levy-driven risk models with heavy tails , Journal of Industrial and Management Optimization. 2018, 14(1): 231-247.
Yuen K.C., Computational Statistics and Data Analysis, Associate Editor, 2018.
Yuen K.C., Optimal proportional reinsurance to minimize the probability of drawdown under thinning-dependence structure, The 2nd International Conference on Econometrics and Statistics, The City University of Hong Kong, Hong Kong. 2018.
Yuen K.C., Optimal reinsurance with dependent risks, College of Mathematics and Computational Science, Hunan University of Arts and Science, Hunan, China. 2017.
Zhou M., Yuen K.C. and Yin C., Optimal investment and premium control in a linear diffusion model, Acta Mathematicae Applicatae Sinica. 2017, 33(4): 945-958.


Researcher : ZHANG Y

List of Research Outputs

ZHANG Y., Li X. and Cheung K.C., ON HETEROGENEITY IN THE INDIVIDUAL MODEL WITH BOTH DEPENDENT CLAIM OCCURRENCES AND SEVERITIES, ASTIN Bulletin. 2018, 48: 817-839.


Researcher : ZHENG Y

List of Research Outputs

ZHENG Y., Li W.K. and Li G., A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models, Biometrika. UK, Biometrika Trust, 2018, 105: 73-89.


Researcher : ZHU Y

List of Research Outputs

Yu P.L.H., WANG X. and ZHU Y., High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood, Computational Statistics and Data Analysis. Elsevier, 2017, 114: 12-25.


Researcher : Zhu K

Project Title:Model diagnostics checking for nonlinear co-integrating regression
Investigator(s):Zhu K
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research for New Staff
Start Date:05/2017


Project Title:ICSA-Canada Chapter 2017 Symposium; On a measure of lack of fit in nonlinear cointegrating regression
Investigator(s):Zhu K
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:08/2017


List of Research Outputs

Li D., Zhang X., Zhu K. and Ling S., The ZD-GARCH model: A new way to study heteroscedasticity, Journal of Econometrics. 2018, 202: 1-17.
Zhu K., Li W.K. and Yu P.L.H., Buffered autoregressive models with conditional heteroscedasticity: An application to exchange rates, Journal of Business and Economic Statistics. Taylor & Francis, 2017, 35 (4): 528-542.


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