I am an assistant professor in the Department of Mathematics and Statistics at Queen's University. I received my Ph.D. in Statistics from Columbia University in 2020. My research interests include survival analysis, event history analysis, latent variable model, nonparametric and semiparametric estimation, and shape-constrained inference.
Teaching
STAT 268 Statistics and Probability I (2020 Fall, 2021 Fall)
STAT 269 Statistics and Probability II (2022 Winter, 2023 Winter)
STAT 362 R for data science (2021 Winter, 2022 Winter, 2023 Winter)
STAT 462 Statistical Learning I (2022 Fall)
For 268, 269, 462 notes, see onQ (https://onq.queensu.ca/). STAT 362 notes: https://brian-ling.github.io/
Publications
Chan, K. C. G., Ling, H. K., Sit, T., and Yam, S. C. P. (2018). Estimation of a Monotone Density in S-sample Biased Sampling Models. Annals of Statistics, 46(5), 2125-2152.
Cheung, K. C., Ling, H. K., Tang, Q., Yam, S. C. P., and Yuen, F. L. K., (2019). On Additivity of Tail Comonotonic Risks. Scandinavian Actuarial Journal, 10, 837-866.
Chan, K. C. G., Ling, H. K., Sit, T., and Yam, S. C. P. (2021). Grenander-type Nature of Monotone NPMLE of Multi-sample Biased Sampling Models. Electronic Journal of Statistics, 15(1), 2876-2904.
Chan, K. C. G., Ling, H. K., and Yam, S. C. P. On nonparametric estimation for cross-sectional sampled data under stationarity Electronic Journal of Statistics, 17(2): 2745-2809
Some submitted works/ preprints
Chan, K. C. G., Ling, H. K., Tang, C., and Yam, S.C.P. A Nonparametric Likelihood Ratio Test for Shape-constrained Densities (arxiv)
Chan, K. C. G., Ling, H. K., Tang, C., and Yam, S.C.P. An Effective Multivariate Normality Test via Hessians of Empirical Cumulant Generating Functions (arxiv)
Chen, F, Ling, H. K. and Ying, Z. A Dynamic Multiplicative Factor Model for Multivariate Counting Processes
Galica J, Saunders S, Madu A, Pan Z, Ling HK, Waite J, Neumann-Fuhr D, Snelgrove-Clarke E. Examining Registered Nurses' level of compassion: What is the influence of their practice characteristics?
Galica J, Saunders S, Pan Z, Silva A, & Ling, HK. What do cancer survivors believe caused their cancer? A secondary analysis using the Causes subscale of the Illness Perceptions Questionnaire.
He, Q., Liao, D., Ling, H. K., Jiao, Hong (accepted). Evaluating Consistency of Behavioral Patterns across Multiple Tasks Using Process Data: A case study in PIAAC.