A distribution-free two-sample run test applicable to high-dimensional data M Biswas, M Mukhopadhyay, AK Ghosh
Biometrika 101 (4), 913-926, 2014
78 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
41 1999 Efficient manifold approximation with spherelets D Li, M Mukhopadhyay, DB Dunson
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
26 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 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 Targeted random projection for prediction from high-dimensional features M Mukhopadhyay, DB Dunson
Journal of the American Statistical Association 115 (532), 1998-2010, 2020
10 2020 On consistency and optimality of Bayesian variable selection based on 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 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 semiparametric longitudinal inverse-probit mixed models for category learning M Mukhopadhyay, JR McHaney, B Chandrasekaran, A Sarkar
arXiv preprint arXiv:2112.04626, 2021
1 2021 Bayesian variable selection for ultrahigh-dimensional sparse linear models M Mukhopadhyay, S Dutta
arXiv preprint arXiv:1609.06031, 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 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
