I have a strong passion for both Bayesian and frequentist methods in mathematical statistics, along with their practical applications. My research primarily focuses on Bayesian non- and semi-parametric methods, inference over finite populations, efficient random variate generation and the development of advanced Markov Chain Monte Carlo (MCMC) algorithms. In addition to my research focus, I possess expertise in mixture model analysis, regression analysis and model selection.
You can access my Google Scholar profile for more information about my publications. Additionally, pre-prints of some of my papers and technical reports are available through my ResearchGate profile .
The graphic displays a density estimate (left) for the famous galaxy dataset and scaled density estimates along with the single best clustering (right). To obtain the scaled density estimates and the single best clustering we tackle the label switching problem.
