| MicroRNA profiling in kidney disease: Plasma versus plasma-derived exosomes JX Xie, X Fan, CA Drummond, R Majumder, Y Xie, T Chen, L Liu, ... Gene 627, 1-8, 2017 | 58 | 2017 |
| A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting R Majumder, BJ Reich Spatial Statistics 55, 100755, 2023 | 6 | 2023 |
| Modeling extremal streamflow using deep learning approximations and a flexible spatial process R Majumder, BJ Reich, BA Shaby The Annals of Applied Statistics 18 (2), 1519-1542, 2024 | 5 | 2024 |
| Daily Precipitation Generation using a Hidden Markov Model with Correlated Emissions for the Potomac River Basin GC Kroiz, R Majumder, MK Gobbert, NK Neerchal, K Markert, A Mehta PAMM 20 (1), e202000117, 2021 | 5* | 2021 |
| Stochastic precipitation generation for the Potomac river basin using hidden Markov models GC Kroiz, JN Basalyga, U Uchendu, R Majumder, CA Barajas, ... UMBC, 2020 | 5 | 2020 |
| Variational Bayes estimation of hidden Markov models for daily precipitation with semi-continuous emissions R Majumder, MK Gobbert, A Mehta, NK Neerchal UMBC HPCF, 2021 | 3 | 2021 |
| A modified minibatch sampling method for parameter estimation in hidden Markov models using stochastic variational Bayes R Majumder, MK Gobbert, NK Neerchal PAMM 21 (1), e202100203, 2021 | 2 | 2021 |
| Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model R Majumder, Q Ji, NK Neerchal Sankhya B, 1-22, 2022 | 1 | 2022 |
| Hidden Markov models for high dimensional data with geostatistical applications R Majumder University of Maryland, Baltimore County, 2021 | 1 | 2021 |
| SPQR: An R Package for Semi-Parametric Density and Quantile Regression SG Xu, R Majumder, BJ Reich arXiv preprint arXiv:2210.14482, 2022 | | 2022 |
Nagaraj NeerchalUniversity of Maryland Baltimore CountyVerified email at umbc.edu
