| Mass cytometric analysis of HIV entry, replication, and remodeling in tissue CD4+ T cells M Cavrois, T Banerjee, G Mukherjee, N Raman, R Hussien, BA Rodriguez, ... Cell reports 20 (4), 984-998, 2017 | 76 | 2017 |
| Rethinking gradient sparsification as total error minimization A Sahu, A Dutta, A M Abdelmoniem, T Banerjee, M Canini, P Kalnis Advances in Neural Information Processing Systems 34, 8133-8146, 2021 | 58 | 2021 |
| A large-scale constrained joint modeling approach for predicting user activity, engagement, and churn with application to freemium mobile games T Banerjee, G Mukherjee, S Dutta, P Ghosh Journal of the American Statistical Association, 2020 | 21 | 2020 |
| Nonparametric empirical bayes estimation on heterogeneous data B T, LJ Fu, GM James, W Sun arXiv preprint arXiv:2002.12586, 2021 | 19* | 2021 |
| Adaptive sparse estimation with side information T Banerjee, G Mukherjee, W Sun Journal of the American Statistical Association 115 (532), 2053-2067, 2020 | 17 | 2020 |
| Joint Modeling of Playing Time and Purchase Propensity in Massively Multiplayer Online Role Playing Games Using Crossed Random Effects. T Banerjee, P Liu, G Mukherjee, S Dutta, H Che | 7 | 2021 |
| A general framework for empirical bayes estimation in discrete linear exponential family T Banerjee, Q Liu, G Mukherjee, W Sun The Journal of Machine Learning Research 22 (1), 3108-3153, 2021 | 7 | 2021 |
| A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data T Banerjee, BB Bhattacharya, G Mukherjee | 6 | 2020 |
| Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences From Diverse Sources T Banerjee, B Gang, J He arXiv preprint arXiv:2308.11026, 2023 | 5 | 2023 |
| Risk-Shifting, Regulation and Government Assistance P Sharma Federal Reserve Bank of Kansas City Working Paper RWP, 19-10, 2019 | 5 | 2019 |
| Do financial regulators act in the public's interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises P Sharma, T Banerjee https://arxiv.org/abs/2208.03908, 2022 | 4* | 2022 |
| Feature screening in large scale cluster analysis T Banerjee, G Mukherjee, P Radchenko Journal of Multivariate Analysis 161, 191-212, 2017 | 4 | 2017 |
| Empirical bayes estimation with side information: A nonparametric integrative tweedie approach J Luo, T Banerjee, G Mukherjee, W Sun arXiv preprint arXiv:2308.05883, 2023 | 2 | 2023 |
| Improved Shrinkage Prediction under a Spiked Covariance Structure T Banerjee, G Mukherjee, D Paul Journal of Machine Learning Research 22 (180), 1-40, 2021 | 2 | 2021 |
| Nonparametric Empirical Bayes Prediction in Mixed Models T Banerjee, P Sharma Available at SSRN 4458738, 2023 | 1 | 2023 |
| Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity T Banerjee, BB Bhattacharya, G Mukherjee Journal of Computational and Graphical Statistics, 1-12, 2024 | | 2024 |
| Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity B Gang, T Banerjee arXiv preprint arXiv:2306.07362, 2023 | | 2023 |
Gourab MukherjeeUniversity of Southern CaliforniaVerified email at usc.edu
