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Mukhopadhyay, Minerva
18  results:
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1

Bayesian Semiparametric Longitudinal Inverse-Probit Mixed M..:

Mukhopadhyay, Minerva ; McHaney, Jacie R. ; Chandrasekaran, Bharath.
Psychometrika.  89 (2024)  2 - p. 461-485 , 2024
Link: https://doi.org/10.1007/..
 
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2

Efficient Manifold Approximation with Spherelets:

Li, Didong ; Mukhopadhyay, Minerva ; Dunson, David B.
Journal of the Royal Statistical Society Series B: Statistical Methodology.  84 (2022)  4 - p. 1129-1149 , 2022
Link: https://doi.org/10.1111/..
 
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3

Bayes factor asymptotics for variable selection in the Gaus..:

Mukhopadhyay, Minerva ; Bhattacharya, Sourabh
Annals of the Institute of Statistical Mathematics.  74 (2021)  3 - p. 581-613 , 2021
Link: https://doi.org/10.1007/..
 
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4

Estimating Densities with Non-Linear Support by Using Fishe..:

Mukhopadhyay, Minerva ; Li, Didong ; Dunson, David B.
Journal of the Royal Statistical Society Series B: Statistical Methodology.  82 (2020)  5 - p. 1249-1271 , 2020
Link: https://doi.org/10.1111/..
 
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5

Targeted Random Projection for Prediction From High-Dimensi..:

Mukhopadhyay, Minerva ; Dunson, David B.
Journal of the American Statistical Association.  115 (2019)  532 - p. 1998-2010 , 2019
Link: https://doi.org/10.1080/..
 
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6

A mixture of g-priors for variable selection when the numbe..:

Mukhopadhyay, Minerva ; Samanta, Tapas
TEST.  26 (2016)  2 - p. 377-404 , 2016
Link: https://doi.org/10.1007/..
 
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7

ON SOME EXACT DISTRIBUTION-FREE ONE-SAMPLE TESTS FOR HIGH D..:

Biswas, Munmun ; Mukhopadhyay, Minerva ; Ghosh, Anil K.
Statistica Sinica.  25 (2015)  4 - p. 1421-1435 , 2015
Link: https://www.jstor.org/st..
 
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8

A distribution-free two-sample run test applicable to high-..:

BISWAS, MUNMUN ; MUKHOPADHYAY, MINERVA ; GHOSH, ANIL K.
Biometrika.  101 (2014)  4 - p. 913-926 , 2014
Link: https://www.jstor.org/st..
 
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9

On consistency and optimality of Bayesian variable selectio..:

Mukhopadhyay, Minerva ; Samanta, Tapas ; Chakrabarti, Arijit
Annals of the Institute of Statistical Mathematics.  67 (2014)  5 - p. 963-997 , 2014
Link: https://doi.org/10.1007/..
 
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10

Bayesian Semiparametric Longitudinal Inverse-Probit Mixed M..:

Mukhopadhyay, Minerva ; McHaney, Jacie R ; Chandrasekaran, Bharath.
http://arxiv.org/abs/2112.04626.  , 2021
Link: http://arxiv.org/abs/211..
 
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11

Estimating densities with non-linear support by using Fishe..:

Mukhopadhyay, Minerva ; Li, Didong ; Dunson, David B
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286319/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
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12

Targeted Random Projection for Prediction from High-Dimensi..:

Mukhopadhyay, Minerva ; Dunson, David B
http://arxiv.org/abs/1909.05117.  , 2019
Link: http://arxiv.org/abs/190..
 
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13

Estimating densities with nonlinear support using Fisher-Ga..:

Mukhopadhyay, Minerva ; Li, Didong ; Dunson, David B
http://arxiv.org/abs/1907.05918.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

Bayes Factor Asymptotics for Variable Selection in the Gaus..:

Mukhopadhyay, Minerva ; Bhattacharya, Sourabh
http://arxiv.org/abs/1810.09909.  , 2018
Link: http://arxiv.org/abs/181..
 
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15

Efficient Manifold and Subspace Approximations with Spherel..:

Li, Didong ; Mukhopadhyay, Minerva ; Dunson, David B
http://arxiv.org/abs/1706.08263.  , 2017
Link: http://arxiv.org/abs/170..
 
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