4 citations · 5 across the 3 of their papers we have counts for
6 papers
Convergence properties of data augmentation algorithms for high-dimensional robit regression
Sourav Mukherjee, Kshitij Khare, Saptarshi Chakraborty
The logistic and probit link functions are the most common choices for regression models with a binary response. However, these choices are not robust to the presence of outliers/u…
Using the "Hidden" Genome to Improve Classification of Cancer Types
Saptarshi Chakraborty, Colin B. Begg, Ronglai Shen
It is increasingly common clinically for cancer specimens to be examined using techniques that identify somatic mutations. In principle these mutational profiles can be used to dia…
Estimating accuracy of the MCMC variance estimator: a central limit theorem for batch means estimators
Saptarshi Chakraborty, Suman K. Bhattacharya, Kshitij Khare
The batch means estimator of the MCMC variance is a simple and effective measure of accuracy for MCMC based ergodic averages. Under various regularity conditions, the estimator has…
On the circular correlation coefficients for bivariate von Mises distributions on a torus
Saptarshi Chakraborty, Samuel W. K. Wong
This paper studies circular correlations for the bivariate von Mises sine and cosine distributions. These are two simple and appealing models for bivariate angular data with five p…
Consistent estimation of the spectrum of trace class data augmentation algorithms
Saptarshi Chakraborty, Kshitij Khare
Markov chain Monte Carlo is widely used in a variety of scientific applications to generate approximate samples from intractable distributions. A thorough understanding of the conv…
BAMBI: An R package for Fitting Bivariate Angular Mixture Models
Saptarshi Chakraborty, Samuel W. K. Wong
Statistical analyses of directional or angular data have applications in a variety of fields, such as geology, meteorology and bioinformatics. There is substantial literature on de…