Research

Zhang, Z., Perreault, S., Franklin, M., Brown, P. (2025) Zhang, Perreault, Franklin and Brown’s contribution to the Discussion of ‘Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter’ by Cork et al. Journal of the Royal Statistical Society Series A: Statistics in Society. [link to the journal]

Zhang, Z., Brown, P., Stafford, J. (2025) Efficient Modeling of Quasi Periodic Data with Seasonal Gaussian Process. Statistics and Computing. [link to the journal] [link to the pdf] [link to the code] [link to the online tutorial]

Zhang, Z., Stringer, A., Brown, P., Stafford, J. (2024). Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines. Journal of Computational and Graphical Statistics. [link to the journal] [link to the arXiv] [link to the code] 

Zhang, Z., Sun, L. (2023). The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait. Bioinformatics.  [link to the journal]  [link to the code]

Zhang, Z., Stringer, A., Brown, P., Stafford, J. (2023). Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations. Statistical Methods in Medical Research. [link to the journal] [link to the code]

Li, D*, Zhang, Z*. (2025+) Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models, arXiv:2403.12250 [stat.ME] (Under revision at Computational Statistics & Data Analysis). [link to the arXiv] [link to the code]

Zhang, Z., Lawless, J., Paterson, AD., Sun, L. (2025+) Detecting latent gene-environment interaction when analyzing binary traits, bioRxiv 2024.07.10.602954 (Under revision at PLOS Genetics). [link to the bioRiv]

Zhang, Z. (2024) Efficient Implementation of Gaussian Process priors within flexible Bayesian hierarchical models. PhD Thesis - University of Toronto. [link to the thesis]