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Minerva Mukhopadhyay
Observed name:
Mukhopadhyay, Minerva
Institutions:
Indian Statistical Institute,
Indian Institute of Technology Kanpur
Observed institutions:
Indian Statistical Institute,
Indian Institute of Technology Kanpur
OpenAlex ID:
A5108710841
Efficient Manifold Approximation with Spherelets
2022
·
Didong Li
, Minerva Mukhopadhyay
, et al.
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
·
20
PDF
Targeted Random Projection for Prediction From High-Dimensional Features
2019
·
Minerva Mukhopadhyay
, David B. Dunson
·
Journal of the American Statistical Association
·
14
PDF
On consistency and optimality of Bayesian variable selection based on $$g$$ g -prior in normal linear regression models
2014
·
Minerva Mukhopadhyay
, Tapas Samanta
, et al.
·
Annals of the Institute of Statistical Mathematics
·
11
Efficient Manifold and Subspace Approximations with Spherelets
2017
·
Li, Didong
, Mukhopadhyay, Minerva
, et al.
·
arXiv (Cornell University)
·
10
PDF
Estimating Densities with Non-Linear Support by Using Fisher–Gaussian Kernels
2020
·
Minerva Mukhopadhyay
, Didong Li
, et al.
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
·
8
On some exact distribution-free one-sample tests for high dimension low sample size data
2014
·
Munmun Biswas
, Minerva Mukhopadhyay
, et al.
·
Statistica Sinica
·
7
A mixture of g-priors for variable selection when the number of regressors grows with the sample size
2016
·
Minerva Mukhopadhyay
, Tapas Samanta
·
Test
·
6
PDF
Ultrahigh-dimensional quadratic discriminant analysis using random projections
2026
·
Annesha Deb
, Minerva Mukhopadhyay
, et al.
·
Journal of Multivariate Analysis
·
3
PDF
Bayes factor asymptotics for variable selection in the Gaussian process framework
2021
·
Minerva Mukhopadhyay
, Sourabh Bhattacharya
·
Annals of the Institute of Statistical Mathematics
·
1
PDF
Bayesian Variable Selection for Ultrahigh-dimensional Sparse Linear Models
2016
·
Minerva Mukhopadhyay
, Subhajit Dutta
·
arXiv (Cornell University)
·
1
Bayesian Variable Selection Under High-Dimensional Settings with Grouped Covariates
2025
·
Pranay Agarwal
, Subhajit Dutta
, et al.
·
Bayesian Analysis
PDF
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
2024
·
Minerva Mukhopadhyay
, Jacie R. McHaney
, et al.
·
Psychometrika
PDF
Asymptotic Theory of Bayes Factor for Nonparametric Model and Variable Selection in the Gaussian Process Framework
2018
·
Minerva Mukhopadhyay
, Sourabh Bhattacharya
·
arXiv (Cornell University)
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Works count:
13
Citation count:
71
H-index:
6
I10-index:
4
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