Publications
Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2014) A distribution-free two sample run test applicable to high-dimensional data. Biometrika [Link]
Mukhopadhyay, M., Samanta, T., Chakrabarti, A. (2015) On consistency and optimality of Bayesian variable selection based on g-prior in normal linear regression models. Annals of the Institute of Statistical Mathematics [Link]
Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2015) On some exact distribution free one-sample tests for high dimension low sample size data. Statistica Sinica [Link]
Mukhopadhyay, M. and Samanta, T. (2017) A mixture of g-priors for variable selection when the number of regressors grows with the sample size. TEST [Link]
Mukhopadhyay, M., and Dunson, D. (2019) Targeted random projection for prediction from high-dimensional features. Journal of American Statistical Association [Link]
Mukhopadhyay, M., Li, D., and Dunson, D. (2020) Estimating densities with non-linear support by using Fisher–Gaussian kernels. Journal of the Royal Statistical Society: Series B [Link]
Mukhopadhyay, M., Bhattacharya, S. (2021) Bayes factor asymptotics for variable selection in the Gaussian process framework. Annals of the Institute of Statistical Mathematics [Link]
Li, D., Mukhopadhyay, M., and Dunson, D. (2022) Efficient manifold approximation with spherelets. Journal of the Royal Statistical Society: Series B [Link]
Mukhopadhyay, M., McHaney, J., Chandrasekaran, B., and Sarkar, A. (2024) Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning. Psychometrika [Link]