Minerva Mukhopadhyay

PhD (Indian Statistical Institute, Kolkata)

Assistant Professor, Department of Mathematics and Statistics

Specialization


Research Interest

 

Education

  • Post-doctoral Associate in Duke University under the supervision of Prof. David Dunson and Prof. Sandeep Dave
  • PhD in Statistics from Indian Statistical Institute (ISI), 2016., Kolkata under the supervision of Prof. Tapas Samanta
  • M.Sc. in Statistics, University of Calcutta, 2009 (63.50%).
  • B.Sc. in Statistics, St. Xavier’s College, University of Calcutta, 2007 (73.25%).

Website(s)

CV

  • Assistant Professor at Department of Statistics, Bethune College, Kolkata, India for the Bachelors’ program in Statistics from September, 2014 till October, 2016.

  • Taught two short courses at a workshop on Business Statistics organized by Interdisciplinary Statistical Research Unit, ISI, Kolkata at ISI, Tezpur on December, 2016.

  • Taught the graduate course ‘STA 611: Introduction to Mathematical Statistics’ in Fall 2017 at Department of Statistical Science, Duke University, USA.

  • Visiting Scientist at Interdisciplinary Statistical Research Unit, ISI, Kolkata, India from November, 2016 to December, 2016.

  • Project Personnel in Machine Intelligence Unit, ISI, Kolkata in 2009-2010 under the supervision of Prof. C. A. Murthy.

  Published Papers

  • Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2014) A distribution-free two sample run test applicable to high-dimensional data. Biometrika, 101(4), 913-926.

  • 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, 67(5), 963-997.

  • Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2015) On some exact distributionfree one-sample tests for high dimension low sample size data. Statistica Sinica, 25, 1421-1435.

  • 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, 26, 377-404.

Papers communicated for publication/working papers

  • Mukhopadhyay, M., and Dutta, S. (2018+) Bayesian variable selection for ultrahighdimensional sparse linear models. Available at http://arxiv.org/abs/1609.06031.

  • Mukhopadhyay, M., and Dunson, D. (2018+) Targeted random projection for prediction from high-dimensional features. Available at https://arxiv.org/abs/1712.02445.

  • Mukhopadhyay, M., and Bhattacharya, S. (2018+) Bayesian non-parametric variable selection using Gaussian processes.

  • Invited speaker in the session on “MCMC Algorithms for High Dimensions” at the conference organized by the IISA, Florida, USA, May, 2018.

  • Presented a poster at O’Bayes meeting, UT Austin, USA, December, 2017.

  • Participated in poster presentation at ‘International Society for Bayesian Analysis (ISBA) – World Meeting’, Sardinia, Italy, June 2016.

  • Participated in ‘Student Paper Competition’ at the conference organized by the International Indian Statistical Association (IISA), Pune, India, December, 2015.

  • Invited speaker in the session on “High-Dimensional Data” at the International Statistics Conference organized by the Institute of Applied Statistics (IASSL), Colombo, Sri Lanka, December, 2014.

  • Contributed speaker at the Joint Statistical Meetings (JSM), Boston, USA, August, 2014.

  • Best Student Paper Award in ‘Theory and Methods’ at IISA 2015 Conference.

  • Pillar Iglesias Travel Award at ISBA 2016 World Meeting.

  • O’Bayes Travel Award at O’Bayes meeting 2017.

Knowledgeable in C, and an experienced user of R and Matlab. Developed programs relevant to my research work.

  • TEST (An Official Journal of the Spanish Society of Statistics and Operations Research),

  • JSPI (Journal of Statistical Planning and Inference),

  • Stat (The ISI’s journal for the Rapid Dissemination of Statistical Research).

  • CSDA (Computational Statistics and Data Analysis)

  • Tapas Samanta; Applied Statistics Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, INDIA. Tel: +9133 25752829, E-mail : tapas[AT]isical.ac.in.

  • Anil Kumar Ghosh; Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, INDIA. Tel: +9133 25753434, E-mail : akghosh[AT]isical.ac.in.

  • David Dunson, Department of Statistical Sciences, Duke University, 218 Old Chemistry Bldg, Durham, NC 27708, USA. Tel: +1919 6848025, Email: dunson[AT]duke.edu.

  • Sandeep Dave, Division of Hematologic Malignancies & Cellular Therapy, Department of Medicine, 2163 CIEMAS 101 Science Drive, Box 33821 Durham, NC 27708, USA. Tel : +1919 6811922, Email: sandeep.dave[AT]duke.edu.

  • Arijit Chakrabarti, Applied Statistics Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, INDIA. Tel: +9133 25752810, Email : arc[AT]isical.ac.in.

Office

FB-332 B
IIT Kanpur,
Kanpur 208016

Office Phone: 0512-259-2067 (O)

Email: minervam[AT]iitk.ac.in

   
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