Snigdhansu Chatterjee

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On weighted multivariate sign functions

Subhabrata Majumdar, Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2019, J. Multivar. Anal..

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise

Vipin Kumar, Snigdhansu Chatterjee, Xi C. Chen, 2016, SDM.

Fast and General Model Selection using Data Depth and Resampling

Subhabrata Majumdar, Snigdhansu Chatterjee, 2017 .

Procrustes Problems

Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2005, Technometrics.

Probabilistic Matrix Addition

Snigdhansu Chatterjee, Arindam Banerjee, Amrudin Agovic, 2011, ICML.

Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data

Subhabrata Majumdar, Snigdhansu Chatterjee, Ujjal Kumar Mukherjee, 2015, ICDM.

Tripoles: A New Class of Relationships in Time Series Data

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2017, KDD.

High dimensional data analysis using multivariate generalized spatial quantiles

Snigdhansu Chatterjee, Nitai D. Mukhopadhyay, N. Mukhopadhyay, 2011, J. Multivar. Anal..

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics

Vipin Kumar, Snigdhansu Chatterjee, James H. Faghmous, 2013, 2013 IEEE 13th International Conference on Data Mining.

Sparse Group Lasso: Consistency and Climate Applications

Snigdhansu Chatterjee, Arindam Banerjee, Karsten Steinhaeuser, 2012, SDM.

Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data

Snigdhansu Chatterjee, Jun Young Park, Mark Fiecas, 2020, Comput. Stat. Data Anal..

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes

Vipin Kumar, Zoran Obradovic, Snigdhansu Chatterjee, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

General model discovery using statistical evaluation maps

Subhabrata Majumdar, Snigdhansu Chatterjee, 2017 .

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series pdf

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2019, ArXiv.

Causality and pathway search in microarray time series experiment

Snigdhansu Chatterjee, Nitai D. Mukhopadhyay, N. Mukhopadhyay, 2007, Bioinform..

Contextual Time Series Change Detection

Vipin Kumar, Snigdhansu Chatterjee, Xi C. Chen, 2013, SDM.

Non‐convex penalized multitask regression using data depth‐based penalties

Subhabrata Majumdar, Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2016, 1610.07540.

Order Statistics

Snigdhansu Chatterjee, 2004, Technometrics.

Mining Sub-Interval Relationships In Time Series Data pdf

Anuj Karpatne, Vipin Kumar, Snigdhansu Chatterjee, 2018, ArXiv.

Sparse Group Lasso for Regression on Land Climate Variables

Snigdhansu Chatterjee, Arindam Banerjee, Auroop R. Ganguly, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Using temporal detrending to observe the spatial correlation of traffic

Snigdhansu Chatterjee, Alireza Ermagun, David Levinson, 2017, PloS one.

Reply to "Comment on causality and pathway search in microarray time series experiment"

Snigdhansu Chatterjee, Nitai D. Mukhopadhyay, 2008, Bioinform..

Structural Equation Modeling, A Bayesian Approach

Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2008, Technometrics.

Testing the significance of spatio-temporal teleconnection patterns

Vipin Kumar, Snigdhansu Chatterjee, Karsten Steinhaeuser, 2012, KDD.

Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds

Snigdhansu Chatterjee, Ujjal Kumar Mukherjee, Snigdhansu Chatterjee, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks

Vipin Kumar, Snigdhansu Chatterjee, Michael S. Steinbach, 2018, IEEE Transactions on Knowledge and Data Engineering.

Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions pdf

Subhabrata Majumdar, Snigdhansu Chatterjee, 2021, ArXiv.

Approximate Bayesian Computation for Physical Inverse Modeling pdf

Snigdhansu Chatterjee, Neel Chatterjee, Somya Sharma, 2021, ArXiv.

Bayesian equation selection on sparse data for discovery of stochastic dynamical systems

Snigdhansu Chatterjee, Dootika Vats, Kushagra Gupta, 2021, 2101.04437.

Generalized bootstrap for estimators of minimizers of convex functions

Snigdhansu Chatterjee, Arup Bose, Snigdhansu Chatterjee, 2003 .

Parameter Estimation in Conditional Heteroscedastic Models

Snigdhansu Chatterjee, Snigdhansu Chatterjee, Samarjit Das, 2003 .

Exploring Granger causality between global average observed time series of carbon dioxide and temperature

Snigdhansu Chatterjee, Auroop R. Ganguly, Evan Kodra, 2011 .

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models

Snigdhansu Chatterjee, Partha Lahiri, P. Lahiri, 2008, 0806.2931.

Resampling-based tests for Lasso in genome-wide association studies

Snigdhansu Chatterjee, Saonli Basu, Matt McGue, 2017, BMC Genetics.