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

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

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

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

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

Feature Selection using e-values. - Majumdar, Subhabrata; Chatterjee, Snigdhansu (CoRR, 2022)

Probabilistic Inverse Modeling: An Application in Hydrology. - Sharma, Somya; Ghosh, Rahul; Renganathan, Arvind; Li, Xiang; Chatterjee, Snigdhansu; Nieber, John; Duffy, Christopher J.; Kumar, Vipin (CoRR, 2022)

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

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

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

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

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

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

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

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. - Agrawal, Saurabh; Steinbach, Michael S.; Boley, Daniel; Chatterjee, Snigdhansu; Atluri, Gowtham; Dang, Anh The; Liess, Stefan; Kumar, Vipin (CoRR, 2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Procrustes Problems. - Chatterjee, Snigdhansu (Technometrics, 2005)

Order Statistics. - Chatterjee, Snigdhansu (Technometrics, 2004)