48 citations · 126 across the 51 of their papers we have counts for
7 papers · 1 filter
On Geometric Ergodicity of Additive and Multiplicative Transformation Based Markov Chain Monte Carlo in High Dimensions
Kushal Kumar Dey, Sourabh Bhattacharya
Recently Dutta and Bhattacharya (2013) introduced a novel Markov Chain Monte Carlo methodology that can simultaneously update all the components of high dimensional parameters usin…
Clustering Categorical Time Series into Unknown Number of Clusters: A Perfect Simulation based Approach
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Pamminger and Fruwirth-Schnatter (2010) considered a Bayesian approach to model-based clustering of categorical time series assuming a fixed number of clusters. But the popular met…
An Improved Bayesian Semiparametric Model for Palaeoclimate Reconstruction: Cross-validation Based Model Assessment
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Fossil-based palaeoclimate reconstruction is an important area of ecological science that has gained momentum in the backdrop of the global climate change debate. The hierarchical…
Non-marginal Decisions: A Novel Bayesian Multiple Testing Procedure
Noirrit K. Chandra, Sourabh Bhattacharya
In this paper we consider the problem of multiple testing when the hypotheses are dependent. In most of the existing literature, either Bayesian or non-Bayesian, the decision rules…
Minimum Distance Estimation of Milky Way Model Parameters and Related Inference
Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya +3
We propose a method to estimate the location of the Sun in the disk of the Milky Way using a method based on the Hellinger distance and construct confidence sets on our estimate of…
Supplement to "Markov Chain Monte Carlo Based on Deterministic Transformations"
Somak Dutta, Sourabh Bhattacharya
This is a supplement to the article "Markov Chain Monte Carlo Based on Deterministic Transformations" available at http://arxiv.org/abs/1106.5850
Bayesian Nonparametric Estimation of Milky Way Model Parameters Using a New Matrix-Variate Gaussian Process Based Method
Dalia Chakrabarty, Munmun Biswas, Sourabh Bhattacharya
In this paper we develop an inverse Bayesian approach to find the value of the unknown model parameter vector that supports the real (or test) data, where the data comprises measur…