معرفی
Tariq Hasan is Professor and Director of Graduate Studies in Mathematics and Statistics at the University of New Brunswick. His research develops statistical methods for complex data structures including longitudinal, zero-inflated, and spatiotemporal datasets. Applications span environmental science, public health, and ecology.
Methodological innovations include: joint modeling of clustered multinomial outcomes, Tweedie GLMs for skewed longitudinal data, and zero-inflated models accounting for autocorrelation. Work addresses real-world challenges like amphibian roadkill mortality analysis, air pollution health impacts, and osteoporotic fracture risk prediction.
Publications demonstrate consistent focus on handling data complexities: simultaneous modeling of correlated processes, preservation of experimental designs in paired analyses, and integration of random effects for cluster heterogeneity. Recent advances address state-space frameworks for binomial series with random cluster sizes.
