Reetam Majumder

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

University of Arkansas

Also affiliated: United States Geological Survey (2024); North Carolina State University (2022–2024); University of Maryland, Baltimore County (2021–2022); University of Toledo (2017)

Faculty Researcher

4 h-index 32 pubs 118 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Reetam Majumder's research focuses on developing and applying advanced computational and statistical methods to address complex scientific and environmental challenges. His work includes the development of deep learning synthetic likelihood approximations for non-stationary spatial models to forecast extreme streamflow, and modeling extremal streamflow using deep learning approximations and flexible spatial processes. Majumder has also investigated decision models for wildfire management and climate change adaptation, as well as spatiotemporal optimization engines for prescribed burning in the Southeastern United States. His research portfolio also extends to financial modeling, including optimal stock portfolio selection using multivariate hidden Markov models and daily precipitation generation with hidden Markov models. Majumder has a publication record of 32 papers, with 117 citations, and an h-index of 4.

Metrics

h-index: 4
Publications: 32
Citations: 118

Selected Publications

A New Mixture Model for Spatiotemporal Exceedances with Flexible Tail Dependence (2026)

Methodology And Computing In Applied Probability DOI OpenAlex
pySPQR: A Python Package for Density Estimation using Deep Learning (2026)

Journal of the Arkansas Academy of Science OpenAlex
Semi-parametric bulk and tail regression using spline-based neural networks (2026)

Extremes DOI OpenAlex
Semi-parametric bulk and tail regression using spline-based neural networks (2026)

Extremes 2 citations DOI OpenAlex
A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs (2025)

Scientific Data 1 citation DOI OpenAlex