| Rainfall trends and variation in the Maasai Mara ecosystem and their implications for animal population and biodiversity dynamics GS Bartzke, JO Ogutu, S Mukhopadhyay, D Mtui, HT Dublin, HP Piepho PloS one 13 (9), e0202814, 2018 | 104 | 2018 |
| Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England F Pannullo, D Lee, L Neal, M Dalvi, P Agnew, FM O’Connor, ... Environmental Health 16, 1-14, 2017 | 52 | 2017 |
| A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health D Lee, S Mukhopadhyay, A Rushworth, SK Sahu Biostatistics 18 (2), 370-385, 2017 | 40 | 2017 |
| A Bayesian spatiotemporal model to estimate long-term exposure to outdoor air pollution at coarser administrative geographies in England and Wales S Mukhopadhyay, SK Sahu Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018 | 36 | 2018 |
| On Bayesian “central clustering”: Application to landscape classification of Western Ghats S Mukhopadhyay, S Bhattacharya, K Dihidar | 23 | 2011 |
| Cross-validation based assessment of a new Bayesian palaeoclimate model SMS Bhattacharya Environmetrics 24, 550-568, 2013 | 16* | 2013 |
| Modelling spatio-temporal variation in sparse rainfall data using a hierarchical Bayesian regression model S Mukhopadhyay, JO Ogutu, G Bartzke, HT Dublin, HP Piepho Journal of Agricultural, Biological and Environmental Statistics 24 (2), 369-393, 2019 | 15 | 2019 |
| Fast and efficient Bayesian semi-parametric curve-fitting and clustering in massive data S Mukhopadhyay, S Roy, S Bhattacharya Sankhya B 74, 77-106, 2012 | 14 | 2012 |
| On generating a flexible class of anisotropic spatial models using gaussian predictive processes SK Sahu, S Mukhopadhyay Technical Report, University of Southampton, 2015 | 8 | 2015 |
| Perfect simulation for mixtures with known and unknown number of components S Mukhopadhyay, S Bhattacharya | 8 | 2012 |
| Bayesian MISE Convergence Rates of Mixture Models Based on th Polya Urn Model: Asymptotic Comparisons and Choice of Prior Parameters S Mukhopadhyay, S Bhattacharya Submitted. Available at http://arxiv. org/abs/1205.5508, 2013 | 5 | 2013 |
| Estimating promotion effects in email marketing using a large-scale cross-classified Bayesian joint model for nested imbalanced data S Mukhopadhyay, W Kar, G Mukherjee The Annals of Applied Statistics 17 (1), 476-497, 2023 | 3 | 2023 |
| A rigorous statistical framework for estimating the long-term health impact of air pollution D Lee, S Mukhopadhyay, A Rushworth, SK Sahu Atmos Environ 40 (28), 5464-5475, 2016 | 2 | 2016 |
| Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters S Mukhopadhyay, S Bhattacharya Statistics 55 (1), 120-151, 2021 | 1 | 2021 |
| Hierarchical Bayesian integrated modeling of age-and sex-structured wildlife population dynamics S Mukhopadhyay, HP Piepho, S Bhattacharya, HT Dublin, JO Ogutu Journal of Agricultural, Biological and Environmental Statistics, 1-26, 2024 | | 2024 |
| On generating a flexible class of non-stationary spatial models using Gaussian predictive processes SK Sahu, S Mukhopadhyay | | 2016 |
| Clustering Categorical Time Series into Unknown Number of Clusters: A Perfect Simulation based Approach S Mukhopadhyay, S Bhattacharya arXiv preprint arXiv:1311.2422, 2013 | | 2013 |
| An Improved Bayesian Semiparametric Model for Palaeoclimate Reconstruction: Cross-validation Based Model Assessment S Mukhopadhyay, S Bhattacharya arXiv preprint arXiv:1310.7714, 2013 | | 2013 |
| On Bayesian" central clustering" S Mukhopadhyay, S Bhattacharya, K Dihidar | | 2011 |
| Fast Bayesian Semiparametric Curve-Fitting and Clustering in Massive Data With Application to Cosmology S Mukhopadhyay, S Roy, S Bhattacharya arXiv preprint arXiv:0902.3868, 2009 | | 2009 |
