Snigdhansu Chatterjee

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Procrustes Problems

Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2005, Technometrics.

Distribution-free cumulative sum control charts using bootstrap-based control limits

Snigdhansu Chatterjee, P. Qiu, 2009, 0906.1421.

A Teleconnection between the West Siberian Plain and the ENSO Region

Vipin Kumar, Snigdhansu Chatterjee, S. Liess, 2017 .

Snigdhansu Chatterjee, A. Bose, 2022 .

Physics-guided probabilistic modeling of extreme precipitation under climate change

Snigdhansu Chatterjee, A. Ganguly, E. Kodra, 2017, Scientific Reports.

Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty

A. Banerjee, H. Najm, Snigdhansu Chatterjee, 2013 .

Parameter Estimation in Conditional Heteroscedastic Models

Snigdhansu Chatterjee, Snigdhansu Chatterjee, Samarjit Das, 2003 .

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques

Wei-keng Liao, James H. Faghmous, Ankit Agrawal, 2014 .

Quantifying Spatial and Temporal Relationships Among Tree-Ring Records

Snigdhansu Chatterjee, S. George, Megan Heyman, 2020 .

New Exploratory Tools for Extremal Dependence: $$\chi $$χ Networks and Annual Extremal Networks

Whitney K. Huang, D. Cooley, I. Ebert‐Uphoff, 2019, Journal of Agricultural, Biological and Environmental Statistics.

A resampling approach to estimation of the linking variance in the Fay–Herriot model

Snigdhansu Chatterjee, 2019, Statistical Theory and Related Fields.

High dimensional, robust, unsupervised record linkage

Snigdhansu Chatterjee, Sabyasachi Bera, 2020, Statistics in Transition New Series.

Fast and general best subset selection using data depth and resampling

Snigdhansu Chatterjee, S. Majumdar, 2017 .

ROBUSTNESS AND SYNTHESIS OF EARTH SYSTEM MODELS ( ESMS ) : A MULTITASK LEARNING PERSPECTIVE

Pradeep Ravikumar, A. Banerjee, Snigdhansu Chatterjee, 2017 .

Supplement for " Contextual Time Series Change Detection " Technical Report Supplement for " Contextual Time Series Change Detection " Contextual Time Series Change Detection

Xi C. Chen, Vipin Kumar, S. Boriah, 2013 .

TR 12-018 Contextual Time Series Change Detection

Xi C. Chen, Vipin Kumar, S. Boriah, 2012 .

Feature Selection using e-values

Snigdhansu Chatterjee, S. Majumdar, 2022, ICML.

Finding Novel Multivariate Relationships in Time Series Data : Applications to Climate and Neuroscience

M. Steinbach, Vipin Kumar, Daniel Boley, 2018 .

Spatially Penalized Regression for Extremes Dependence Analysis and Prediction: Case of Precipitation Extremes

Vipin Kumar, Z. Obradovic, Snigdhansu Chatterjee, 2012 .

Generalized bootstrap for estimating equations

Snigdhansu Chatterjee, A. Bose, 2005, math/0504515.

On Modifications to Linking Variance Estimators in the Fay-Herriot Model that Induce Robustness

Snigdhansu Chatterjee, 2019 .

Machine Learning Methods for Multiscale Physics and Urban Engineering Problems

Snigdhansu Chatterjee, D. Laefer, D. Trinkle, 2022, Entropy.

The scale enhanced wild bootstrap method for evaluating climate models using wavelets

Snigdhansu Chatterjee, 2019, Statistics & Probability Letters.

Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes

Snigdhansu Chatterjee, L. Dietz, Sakshi Arya, 2022, 2208.07899.

Tripoles : A New Class of Climate Teleconnections

Vipin Kumar, Snigdhansu Chatterjee, S. Liess, 2015 .

Probabilistic Inverse Modeling: An Application in Hydrology

C. Duffy, Snigdhansu Chatterjee, J. Nieber, 2022, SDM.

Using p values to design statistical process control charts

Zhaojun Wang, Snigdhansu Chatterjee, P. Qiu, 2012, Statistical Papers.

Response to Referee # 2 comments

Snigdhansu Chatterjee, L. Dietz, 2013 .

Investigation of Precipitation Thresholds in the Indian Monsoon Using Logit-Normal Mixed Models

Snigdhansu Chatterjee, L. Dietz, 2015 .

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.

On Small Area Prediction Interval Problems

P. Lahiri, Snigdhansu Chatterjee, 2006 .

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

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

A Simple Computational Method for Estimating Mean Squared Prediction Error in General Small-Area Model

P. Lahiri, Snigdhansu Chatterjee, 2007 .

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

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

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.

Simultaneous selection of multiple important single nucleotide polymorphisms in familial genome wide association studies data

Snigdhansu Chatterjee, M. McGue, S. Basu, 2018, Scientific reports.

Approximate Bayesian Computation for Physical Inverse Modeling pdf

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

Structural Equation Modeling, A Bayesian Approach

Snigdhansu Chatterjee, Snigdhansu Chatterjee, 2008, Technometrics.

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..

Instability and change detection in exponential families and generalized linear models, with a study of Atlantic tropical storms

Snigdhansu Chatterjee, Y. Lu, S. Chatterjee, 2014 .

On Bayesian Spatio-Temporal Modeling of Oceanographic Climate Characteristics

Snigdhansu Chatterjee, M. Bhattacharjee, 2015 .

Sparse Group Lasso: Consistency and Climate Applications

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

A Bootstrap Test Using Maximum Likelihood Ratio Statistics to Check the Similarity of Two 3-Dimensionally Oriented Data Samples

Snigdhansu Chatterjee, Sojen Joy, 1998 .

Last passage times of minimum contrast estimators

Snigdhansu Chatterjee, A. Bose, 2001, Journal of the Australian Mathematical Society.

Dimension Asymptotics for Generalised Bootstrap in Linear Regression

Snigdhansu Chatterjee, A. Bose, 2002 .

The influence of decision-making in tree ring-based climate reconstructions

Snigdhansu Chatterjee, C. Oppenheimer, M. Hughes, 2021, Nature Communications.

Winsorization for Robust Bayesian Neural Networks

Snigdhansu Chatterjee, Somya Sharma, 2021, Entropy.

Generalized bootstrap for estimators of minimizers of convex functions

Snigdhansu Chatterjee, Arup Bose, Snigdhansu Chatterjee, 2003 .

On weighted multivariate sign functions

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

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.

Causality and pathway search in microarray time series experiment

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

U-Statistics, Mm-Estimators and Resampling

Snigdhansu Chatterjee, A. Bose, 2018 .

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.

Probabilistic Matrix Addition

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

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.

Another look at the jackknife: further examples of generalized bootstrap

Snigdhansu Chatterjee, 1998 .

High dimensional data analysis using multivariate generalized spatial quantiles

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

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).

Anomaly Construction in Climate Data: Issues and Challenges

Vipin Kumar, Jaya Kawale, Arjun Kumar, 2011, CIDU.

Corn Yield Prediction in US Midwest Using Artiﬁcial Neural Networks

Snigdhansu Chatterjee, Somya Sharma, 2021 .

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

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

Contextual Time Series Change Detection

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

Using temporal detrending to observe the spatial correlation of traffic

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

Causality and pathway search in microarray time series experiment

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

A dependent multimodel approach to climate prediction with Gaussian processes

A. Braverman, Snigdhansu Chatterjee, Marten Thompson, 2022, Environmental Data Science.

Uncertainty Quantification in Inverse Models in Hydrology

Snigdhansu Chatterjee, Rahul Ghosh, Arvind Renganathan, 2023, 2310.02193.

Logit-normal mixed model for Indian monsoon precipitation

Snigdhansu Chatterjee, L. Dietz, 2014 .

Response to Referee 2 Comments

Snigdhansu Chatterjee, L. Dietz, 2014 .

Sparse Group Lasso: Consistency and Climate Applications

A. Banerjee, K. Steinhaeuser, Snigdhansu Chatterjee, 2012, SDM.

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.

Tripoles: A New Class of Relationships in Time Series Data

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

Discovering melting temperature prediction models of inorganic solids by combining supervised and unsupervised learning.

Snigdhansu Chatterjee, D. Trinkle, Jose A. Garrido Torres, 2024, The Journal of chemical physics.

Predicting Crop Yield via Partial Linear Model with Bootstrap

Snigdhansu Chatterjee, Megan Heyman, 2015 .

Risk and resampling under model uncertainty

N. Mukhopadhyay, Snigdhansu Chatterjee, 2008, 0805.3244.

IMS Collections Pushing the Limits of Contemporary Statistics : Contributions in Honor of

Snigdhansu Chatterjee, Nitai D Mukhopadhyay, 2017 .

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

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

Probabilistic evaluation of competing climate models

Noel A Cressie, Snigdhansu Chatterjee, Amy J. Braverman, 2017 .