| 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 | 63 | 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 | 11 | 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 | 10 | 2024 |
| A fire-use decision model to improve the United States’ wildfire management and support climate change adaptation A Russell, N Fontana, T Hoecker, A Kamanu, R Majumder, J Stephens, ... Cell Reports Sustainability 1 (6), 2024 | 6 | 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 |
| Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud R Majumder, BA Shaby, BJ Reich, D Cooley arXiv e-prints, arXiv: 2306.13257, 2023 | 4* | 2023 |
| Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model R Majumder, Q Ji, NK Neerchal Sankhya B, 1-22, 2022 | 3 | 2022 |
| 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 |
| Deep learning of multivariate extremes via a geometric representation CJR Murphy-Barltrop, R Majumder, J Richards arXiv preprint arXiv:2406.19936, 2024 | 2 | 2024 |
| 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 |
| Hidden Markov models for high dimensional data with geostatistical applications R Majumder University of Maryland, Baltimore County, 2021 | 2 | 2021 |
| A spatiotemporal optimization engine for prescribed burning in the Southeast US R Majumder, AJ Terando, JK Hiers, JA Collazo, BJ Reich Ecological Informatics 85, 102956, 2025 | | 2025 |
| Conditional Density Estimation with Neural Networks for Bias Correction of Multivariate Climate Model Data R Majumder, S Fang, A Sankarasubramanian, EC Hector, BJ Reich arXiv preprint arXiv:2411.18799, 2024 | | 2024 |
| Stochastic Gradient MCMC for Massive Geostatistical Data MA Abba, BJ Reich, R Majumder, B Feng arXiv preprint arXiv:2405.04531, 2024 | | 2024 |
| SPQR: An R Package for Semi-Parametric Density and Quantile Regression SG Xu, R Majumder, BJ Reich arXiv preprint arXiv:2210.14482, 2022 | | 2022 |
Brian J ReichProfessor, North Carolina State University確認したメール アドレス: ncsu.edu