Order Statistics. - Snigdhansu Chatterjee (Technometrics, 2004)

Procrustes Problems. - Snigdhansu Chatterjee (Technometrics, 2005)

Causality and pathway search in microarray time series experiment. - Nitai D. Mukhopadhyay; Snigdhansu Chatterjee (Bioinform., 2007)

Reply to "Comment on causality and pathway search in microarray time series experiment". - Nitai D. Mukhopadhyay; Snigdhansu Chatterjee (Bioinform., 2008)

Structural Equation Modeling, A Bayesian Approach. - Snigdhansu Chatterjee (Technometrics, 2008)

Anomaly Construction in Climate Data: Issues and Challenges. - Jaya Kawale; Snigdhansu Chatterjee; Arjun Kumar; Stefan Liess; Michael S. Steinbach; Vipin Kumar 001 (CIDU, 2011)

Sparse Group Lasso for Regression on Land Climate Variables. - Soumyadeep Chatterjee; Arindam Banerjee 001; Snigdhansu Chatterjee; Auroop R. Ganguly (ICDM Workshops, 2011)

Probabilistic Matrix Addition. - Amrudin Agovic; Arindam Banerjee 001; Snigdhansu Chatterjee (ICML, 2011)

High dimensional data analysis using multivariate generalized spatial quantiles. - Nitai D. Mukhopadhyay; Snigdhansu Chatterjee (J. Multivar. Anal., 2011)

Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. - Debasish Das; Auroop R. Ganguly; Snigdhansu Chatterjee; Vipin Kumar 001; Zoran Obradovic (IGARSS, 2012)

Testing the significance of spatio-temporal teleconnection patterns. - Jaya Kawale; Snigdhansu Chatterjee; Dominick Ormsby; Karsten Steinhaeuser; Stefan Liess; Vipin Kumar 001 (KDD, 2012)

Sparse Group Lasso: Consistency and Climate Applications. - Soumyadeep Chatterjee; Karsten Steinhaeuser; Arindam Banerjee 001; Snigdhansu Chatterjee; Auroop R. Ganguly (SDM, 2012)

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. - James H. Faghmous; Matthew Le 001; Muhammed Uluyol; Vipin Kumar 001; Snigdhansu Chatterjee (ICDM, 2013)

Contextual Time Series Change Detection. - Xi C. Chen; Karsten Steinhaeuser; Shyam Boriah; Snigdhansu Chatterjee; Vipin Kumar 001 (SDM, 2013)

Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds. - Ujjal Kumar Mukherjee; Snigdhansu Chatterjee (IEEE BigData, 2014)

Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. - Ujjal Kumar Mukherjee; Subhabrata Majumdar; Snigdhansu Chatterjee (ICDM, 2015)

A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. - Xi C. Chen; Yuanshun Yao; Sichao Shi; Snigdhansu Chatterjee; Vipin Kumar 001; James H. Faghmous (SDM, 2016)

Tripoles: A New Class of Relationships in Time Series Data. - Saurabh Agrawal 002; Gowtham Atluri; Anuj Karpatne; William Haltom; Stefan Liess; Snigdhansu Chatterjee; Vipin Kumar 001 (KDD, 2017)

Mining Sub-Interval Relationships In Time Series Data. - Saurabh Agrawal 002; Saurabh Verma; Gowtham Atluri; Anuj Karpatne; Stefan Liess; Angus W. MacDonald III; Snigdhansu Chatterjee; Vipin Kumar 001 (CoRR, 2018)

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. - Saurabh Agrawal 002; Saurabh Verma; Anuj Karpatne; Stefan Liess; Snigdhansu Chatterjee; Vipin Kumar 001 (CoRR, 2019)

Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data. - Jun Young Park; Jörg Polzehl; Snigdhansu Chatterjee; André Brechmann; Mark Fiecas (Comput. Stat. Data Anal., 2020)

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. - Saurabh Agrawal 002; Michael S. Steinbach; Daniel Boley; Snigdhansu Chatterjee; Gowtham Atluri; Anh The Dang; Stefan Liess; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2020)

Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. - Subhabrata Majumdar; Snigdhansu Chatterjee (CoRR, 2021)

Approximate Bayesian Computation for Physical Inverse Modeling. - Neel Chatterjee; Somya Sharma; Sarah L. Swisher; Snigdhansu Chatterjee (CoRR, 2021)

Winsorization for Robust Bayesian Neural Networks. - Somya Sharma; Snigdhansu Chatterjee (Entropy, 2021)

Feature selection using e-values. - Subhabrata Majumdar; Snigdhansu Chatterjee (ICML, 2022)

Machine Learning Methods for Multiscale Physics and Urban Engineering Problems. - Somya Sharma; Marten Thompson; Debra F. Laefer; Michael Lawler; Kevin L. McIlhany; Olivier Pauluis; Dallas R. Trinkle; Snigdhansu Chatterjee (Entropy, 2022)

On weighted multivariate sign functions. - Subhabrata Majumdar; Snigdhansu Chatterjee (J. Multivar. Anal., 2022)

Probabilistic Inverse Modeling: An Application in Hydrology. - Somya Sharma; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2023)

Uncertainty Quantification in Inverse Models in Hydrology. - Somya Sharma Chatterjee; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2023)