Snigdhansu Chatterjee

Statistics

313 Ford Hall

224 Church St SE
Minneapolis, MN 55455

Collegiate Affiliation

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Educational Background & Specialties

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Educational Background

Publications

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Generalized bootstrap for estimating equations: Bose, A., IMS, Chatterjee, Snigdhansu, Annals of Statistics, 33, 414-436, 2005.
Generalized bootstrap in non-regular M-estimation problems: A. Bose, Chatterjee, Snigdhansu, Statistical and Probability Letters, 55, 319-328, 2001.
Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models: Lahiri, P, and Li, H., IMS, Chatterjee, Snigdhansu, Annals of Statistics, 36, 1221-1245, 2008.
Probabilistic Matrix Addition: Agovic, A. and Banerjee, A., Chatterjee, Snigdhansu, International Conference on Machine Learning (ICML), 2011.
Distribution-free cumulative sum control charts using bootstrap-based control limits: Qiu, P., Chatterjee, Snigdhansu, The Annals of Applied Statistics, 3, 349-369, 2009.
Sparse group lasso: Consistency and climate applications. Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Auroop Ganguly, Chatterjee, Snigdhansu, 2012.

Activities

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Multivariate quantiles for rapid spatio-temporal threat detection.: Data geometric methods for security, sustainability, and supply chain management.
On conditional statistical procedures for simultaneous model selection, inference and prediction in complex climate systems.: ML and statistical techniques for high-dimensional data.
Collaborative Research: Machine Learning methods for multi- disciplinary multi-scales problems.: Interpretable ML for scientific discoveries and understanding.
Geometric Optimization and Learning Techniques Using Multi- variate Quantiles for Uncertainty Reduction, Calibration, and Dependence Modeling of Data from Multiple Satellite and Ground-Based Sources.: Studies in data geometry.
Computation-driven small area inference with applications.