Research Area(s)
- Spatial, Temporal and Longitudinal Data Analysis
- Interactions in regression models.
- Errors-in-variables models.
- Markov chain Monte Carlo (MCMC) methodology
- Causal effect analysis motivated from epidemiological studies, spatial statistics problems motivated from remote sensing, and stochastic process modeling with application to genetics, biology, and epidemiology
Research
epidemiology errors-in-variable models genetics integration models Markov chain Monte Carlo (MCMC) methodology missing data analysis remote sensing spatial statistics Statistics