Embedded Files
My research focuses on the development and application of modern statistical methodology, with particular emphasis on dependence modeling, complex data structures, and real-world applications in health, reliability, and environmental sciences. Many of these topics also form the basis of research-led, modular teaching for postgraduate students.Â
Generalized Linear Models and Extensions (count data, zero-inflation, overdispersion, correlated responses)
Multivariate Distributions and Dependence Modeling (copulas, inlier-prone models, lifetime data)
Spatial and Spatio-Temporal Statistical Modeling (environmental, public health, and reliability applications)
Reliability, Survival, and Lifetime Data Analysis (censoring, inliers, Bayesian and classical approaches)
Applied Biostatistics and Health Data Analysis (regression, survival analysis, real-world case studies)
Bayesian Inference and Computation (MCMC, Hamiltonian Monte Carlo, NUTS)
Page updated
Report abuse