48 citations · 126 across the 51 of their papers we have counts for
12 papers · 1 filter
How Ominous is the Premonition of Future Global Warming?
Debashis Chatterjee, Sourabh Bhattacharya
Global warming, the phenomenon of increasing global average temperature in the recent decades, is receiving wide attention due to its very significant adverse effects on climate. W…
Hierarchical Bayesian state-space modeling of age- and sex-structured wildlife population dynamics
Sabyasachi Mukhopadhyay, Hans-Peter Piepho, Sourabh Bhattacharya +2
Biodiversity is declining at alarming rates worldwide, including for large wild mammals. It is therefore imperative to develop effective population conservation and recovery strate…
A Novel Bayesian Multiple Testing Approach to Deregulated miRNA Discovery Harnessing Positional Clustering
Noirrit Kiran Chandra, Richa Singh, Sourabh Bhattacharya
MicroRNAs (miRNAs) are small non-coding RNAs that function as regulators of gene expression. In recent years, there has been a tremendous and growing interest among researchers to…
A Non-Gaussian, Nonparametric Structure for Gene-Gene and Gene-Environment Interactions in Case-Control Studies Based on Hierarchies of Dirichlet Processes
Durba Bhattacharya, Sourabh Bhattacharya
It is becoming increasingly clear that complex interactions among genes and environmental factors play crucial roles in triggering complex diseases. Thus, understanding such intera…
Effects of Gene-Environment and Gene-Gene Interactions in Case-Control Studies: A Novel Bayesian Semiparametric Approach
Durba Bhattacharya, Sourabh Bhattacharya
Cognizance of gene-environment interactions may help prevent or detain the onset of complex diseases like cardiovascular disease, cancer, type2 diabetes, autism or asthma by adjust…
A Bayesian Semiparametric Approach to Learning About Gene-Gene Interactions in Case-Control Studies
Durba Bhattacharya, Sourabh Bhattacharya
Gene-gene interactions are often regarded as playing significant roles in influencing variabilities of complex traits. Although much research has been devoted to this area, to date…
A Note on the Misuse of the Variance Test in Meteorological Studies
Arnab Hazra, Sourabh Bhattacharya, Sabyasachi Bhattacharya +1
The erroneous assumption "for all distributions for which the theoretical variance can be computed independently from parameters estimated by any method different from the method o…
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…
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…
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…
On Bayesian "central clustering": Application to landscape classification of Western Ghats
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya, Kajal Dihidar
Landscape classification of the well-known biodiversity hotspot, Western Ghats (mountains), on the west coast of India, is an important part of a world-wide program of monitoring b…
A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments
Sourabh Bhattacharya, Ranjan Maitra
Effective connectivity analysis provides an understanding of the functional organization of the brain by studying how activated regions influence one other. We propose a nonparamet…