Get started
Author

Sourabh Bhattacharya

Observed names: Bhattacharya, Sourabh, S. BHATTACHARYA, S. Bhattacharya, SOURABH BHATTACHARYA
Observed institutions: University of Connecticut, University of Leicester, Duke University, Iowa State University, University of Warwick, Indian Statistical Institute, University of Sheffield
ORCID: 0000-0001-5287-4365
Observed ORCID: 0000-0001-5287-4365
OpenAlex ID: A5101542659
Bayesian Palaeoclimate Reconstruction
2006 · J. Haslett, M. Whiley, et al. · Journal of the Royal Statistical Society Series A (Statistics in Society) · 135
PDF
An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations
2018 · Arunabha Majumdar, Tanushree Haldar, et al. · PLoS Genetics · 49
PDF
A simulation approach to Bayesian emulation of complex dynamic computer models
2007 · Sourabh Bhattacharya · Bayesian Analysis · 32
PDF
A Bayesian approach to modeling dynamic effective connectivity with fMRI data
2005 · Sourabh Bhattacharya, Moon-Ho Ringo Ho, et al. · NeuroImage · 29
Bayesian analysis of semiparametric linear-circular models
2009 · Sourabh Bhattacharya, Ashis Sengupta · Journal of Agricultural Biological and Environmental Statistics · 26
Bayesian inference in nonparametric dynamic state-space models
2014 · Anurag Ghosh, Soumalya Mukhopadhyay, et al. · Statistical Methodology · 20
On geometric ergodicity of additive and multiplicative transformation-based Markov Chain Monte Carlo in high dimensions
2016 · Kushal Kr. Dey, Sourabh Bhattacharya · Brazilian Journal of Probability and Statistics · 16
PDF
A Short Note on Almost Sure Convergence of Bayes Factors in the General Set-Up
2017 · Debashis Chatterjee, Trisha Maitra, et al. · The American Statistician · 15
PDF
Importance re-sampling {MCMC} for cross-validation in inverse problems
2007 · S. Bhattacharya, J. Haslett · Bayesian Analysis · 15
PDF
Transdimensional transformation based Markov chain Monte Carlo
2019 · Moumita Das, Sourabh Bhattacharya · Brazilian Journal of Probability and Statistics · 13
PDF
Non-marginal decisions: A novel Bayesian multiple testing procedure
2019 · Noirrit Kiran Chandra, Sourabh Bhattacharya · Electronic Journal of Statistics · 13
On asymptotics related to classical inference in stochastic differential equations with random effects
2015 · Trisha Maitra, Sourabh Bhattacharya · Statistics & Probability Letters · 13
PDF
A brief review of optimal scaling of the main MCMC approaches and optimal scaling of additive TMCMC under non-regular cases
2019 · Kushal K. Dey, Sourabh Bhattacharya · Brazilian Journal of Probability and Statistics · 12
PDF
Cross‐validation based assessment of a new Bayesian palaeoclimate model
2013 · S. Mukhopadhyay, S. Bhattacharya · Environmetrics · 12
A Bayesian semiparametric model for organism based environmental reconstruction
2006 · Sourabh Bhattacharya · Environmetrics · 12
On Bayesian asymptotics in stochastic differential equations with random effects
2015 · Trisha Maitra, Sourabh Bhattacharya · Statistics & Probability Letters · 10
PDF
On Bayesian “central clustering”: Application to landscape classification of Western Ghats
2011 · Sabyasachi Mukhopadhyay, Sourabh Bhattacharya, et al. · The Annals of Applied Statistics · 10
PDF
A Bayesian zero-inflated exponential distribution model for the analysis of weekly rainfall of the eastern plateau region of India
2018 · ARNAB HAZRA, SOURABH BHATTACHARYA, et al. · MAUSAM · 9
A brief tutorial on transformation based Markov Chain Monte Carlo and optimal scaling of the additive transformation
2017 · Kushal Kr. Dey, Sourabh Bhattacharya · Brazilian Journal of Probability and Statistics · 9
PDF
Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based method
2015 · Dalia Chakrabarty, Munmun Biswas, et al. · Electronic Journal of Statistics · 8
PDF
A Novel Bayesian Semiparametric Algorithm for Inferring Population Structure and Adjusting for Case‐Control Association Tests
2013 · Arunabha Majumdar, Sourabh Bhattacharya, et al. · Biometrics · 7
Bayesian inference for circular distributions with unknown normalising constants
2009 · Sourabh Bhattacharya, Ashis SenGupta · Journal of Statistical Planning and Inference · 7
Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification
2020 · Noirrit Kiran Chandra, Sourabh Bhattacharya · Annals of the Institute of Statistical Mathematics · 6
PDF
Nonstationary, Nonparametric, Nonseparable Bayesian Spatio-Temporal Modeling Using Kernel Convolution of Order Based Dependent Dirichlet Process
2014 · Das, Moumita, Bhattacharya, Sourabh · arXiv (Cornell University) · 6
PDF
Perfect Simulation for Mixtures with Known and Unknown Number of Components
2012 · Sabyasachi Mukhopadhyay, Sourabh Bhattacharya · Bayesian Analysis · 6
PDF
Works count: 114
Citation count: 597
H-index: 12
I10-index: 17
Year
Topic
Type