In the early days of my research, I was mainly concerned with classical estimation and testing in statistical reliability.
I also used the concept of preliminary testing, shrinkage techniques, adaptive estimation, etc. for improving the existing procedures.
My interest soon shifted to Bayesian paradigm and I started working in the area of Bayesian estimation mainly in life
testing and reliability and survival analysis. Besides, I developed some important tools of Bayesian computation especially
for low-dimensional non-regular families and censored data problems. I am still continuing with the Bayesian paradigm and
now a-days engaged in developing Bayesian computational techniques for low dimensional reliability/survival models especially
in the situations where data available are scarce, compounded with (complex) censoring mechanism.
Modelling issues such as examining model compatibility and performing model comparison to get a most appropriate model
among the compatible ones has also been an important area in the recent years.
TALK DETAILS:
To be announced.
