| A distribution-free two-sample run test applicable to high-dimensional data M Biswas, M Mukhopadhyay, AK Ghosh Biometrika 101 (4), 913-926, 2014 | 85 | 2014 |
| Secondary catalytic reactions during thermal decomposition of oxalates of zinc, nickel and iron (II) R Majumdar, P Sarkar, U Ray, MR Mukhopadhyay Thermochimica acta 335 (1-2), 43-53, 1999 | 42 | 1999 |
| Efficient manifold approximation with spherelets D Li, M Mukhopadhyay, DB Dunson Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 32 | 2022 |
| Estimating densities with non-linear support by using Fisher–Gaussian kernels M Mukhopadhyay, D Li, DB Dunson Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 15 | 2020 |
| Targeted random projection for prediction from high-dimensional features M Mukhopadhyay, DB Dunson Journal of the American Statistical Association 115 (532), 1998-2010, 2020 | 13 | 2020 |
| On some exact distribution-free one-sample tests for high dimension low sample size data M Biswas, M Mukhopadhyay, AK Ghosh Statistica Sinica, 1421-1435, 2015 | 11 | 2015 |
| On consistency and optimality of Bayesian variable selection based on -prior in normal linear regression models M Mukhopadhyay, T Samanta, A Chakrabarti Annals of the Institute of Statistical Mathematics 67 (5), 963-997, 2015 | 9 | 2015 |
| A mixture of g-priors for variable selection when the number of regressors grows with the sample size M Mukhopadhyay, T Samanta Test 26, 377-404, 2017 | 6 | 2017 |
| Bayesian semiparametric longitudinal inverse-probit mixed models for category learning M Mukhopadhyay, JR McHaney, B Chandrasekaran, A Sarkar Psychometrika, 1-25, 2024 | 1 | 2024 |
| Bayes factor asymptotics for variable selection in the Gaussian process framework M Mukhopadhyay, S Bhattacharya Annals of the Institute of Statistical Mathematics 74 (3), 581-613, 2022 | 1 | 2022 |
| Bayesian variable selection for ultrahigh-dimensional sparse linear models M Mukhopadhyay, S Dutta arXiv preprint arXiv:1609.06031 1, 2016 | 1 | 2016 |
| A Brief Review of Sparse Principal Components Analysis and its Generalization A Bhattacharjee, R Mondal, R Vashishtha, SS Banerjee, ... | | 2022 |
| Asymptotic Theory of Bayes Factor for Nonparametric Model and Variable Selection in the Gaussian Process Framework M Mukhopadhyay, S Bhattacharya arXiv 2018, 2018 | | 2018 |
| Bayesian Variable Selection Under High-dimensional Settings With Grouped Covariates P Agarwal, S Dutta, M Mukhopadhyay arXiv preprint arXiv:1609.06031, 2016 | | 2016 |
| Other Academic Activities M Mukhopadhyay Annals of the Institute of Statistical Mathematics 67 (5), 963-997, 0 | | |
| Jayanta Kumar Ghosh: A Short Description of the Evolution of His Research Work M Mukhopadhyay | | |
| Supplement to “Bayes Factor Asymptotics for Variable Selection in the Gaussian Process Framework” M Mukhopadhyay, S Bhattacharya | | |
| Statistica Sinica Preprint No: SS-14-155R1 M Mukhopadhyay, AK Ghosh | | |
| Proof of Theorem 2. The proof differs from that of Theorem 1 only in proving convergence (14) of the main paper. As shown in [1], using Theorem 2 of [2], and condition (26) of … M Mukhopadhyay, T Samanta, A Chakrabarti | | |
| A DISTRIBUTION-FREE TWO-SAMPLE RUN TEST APPLICABLE TO HIGH DIMENSIONAL SMALL SAMPLE SIZE DATA M Biswas, M Mukhopadhyay, AK Ghosh | | |
