Snigdhansu Chatterjee
Affiliations: | Economics | University of Minnesota, Twin Cities, Minneapolis, MN |
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Theory EconomicsGoogle:
"Snigdhansu Chatterjee"
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Publications
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| Kodra E, Bhatia U, Chatterjee S, et al. (2020) Physics-guided probabilistic modeling of extreme precipitation under climate change. Scientific Reports. 10: 10299 |
| Park JY, Polzehl J, Chatterjee S, et al. (2020) Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data Computational Statistics & Data Analysis. 150: 107006 |
| Chatterjee S. (2019) The scale enhanced wild bootstrap method for evaluating climate models using wavelets Statistics & Probability Letters. 144: 69-73 |
| Huang WK, Cooley DS, Ebert-Uphoff I, et al. (2019) New Exploratory Tools for Extremal Dependence: $$\chi $$ χ Networks and Annual Extremal Networks Journal of Agricultural Biological and Environmental Statistics. 24: 484-501 |
| Dietz LR, Chatterjee S. (2014) Logit-normal mixed model for Indian monsoon precipitation Nonlinear Processes in Geophysics. 21: 939-953 |
| Lu Y, Chatterjee S. (2014) Instability and change detection in exponential families and generalized linear models, with a study of Atlantic tropical storms Nonlinear Processes in Geophysics. 21: 1133-1143 |
| Mukhopadhyay ND, Chatterjee S. (2011) High dimensional data analysis using multivariate generalized spatial quantiles. Journal of Multivariate Analysis. 102: 768-780 |
| Kodra EA, Chatterjee S, Ganguly AR. (2011) Exploring Granger causality between global average observed time series of carbon dioxide and temperature Theoretical and Applied Climatology. 104: 325-335 |
| Chatterjee S, Lahiri P, Li H. (2008) Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models Annals of Statistics. 36: 1221-1245 |
| Chatterjee S, Das S. (2003) Parameter Estimation in Conditional Heteroscedastic Models Communications in Statistics-Theory and Methods. 32: 1135-1153 |