MicroRNA profiling in kidney disease: Plasma versus plasma-derived exosomes von Xie, Jeffrey X., Fan, Xiaoming, Drummond, Christopher A., Majumder, Reetam, Xie, Yanmei, Chen, Tian, Liu, Lijun, Haller, Steven T., Brewster, Pamela S., Dworkin, Lance D., Cooper, Christopher J., Tian, Jiang

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A fire-use decision model to improve the United States’ wildfire management and support climate change adaptation von Russell, Aaron, Fontana, Nina, Hoecker, Tyler, Kamanu, Alyssa, Majumder, Reetam, Stephens, Jilmarie, Young, Adam M., Cravens, Amanda E., Giardina, Christian, Hiers, Kevin, Littell, Jeremy, Terando, Adam

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A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting von Majumder, Reetam, Reich, Brian J.

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Modeling extremal streamflow using deep learning approximations and a flexible spatial process von Majumder, Reetam, Reich, Brian J., Shaby, Benjamin A.

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Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model von Majumder, Reetam, Ji, Qing, Neerchal, Nagaraj K.

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A Modified Minibatch Sampling Method for Parameter Estimation in Hidden Markov Models using Stochastic Variational Bayes von Majumder, Reetam, Gobbert, Matthias K., Neerchal, Nagaraj K.

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A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting von Majumder, Reetam, Reich, Brian

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Daily Precipitation Generation using a Hidden Markov Model with Correlated Emissions for the Potomac River Basin von Kroiz, Gerson C., Majumder, Reetam, Gobbert, Matthias K., Neerchal, Nagaraj K., Markert, Kel, Mehta, Amita

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Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model von Majumder, Reetam, Ji, Qing, Neerchal, Nagaraj K

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Deep Learning of Multivariate Extremes via a Geometric Representation von Murphy-Barltrop, Callum J. R, Majumder, Reetam, Richards, Jordan

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Stochastic Precipitation Generation for the Chesapeake Bay Watershed using Hidden Markov Models with Variational Bayes Parameter Estimation von Majumder, Reetam, Neerchal, Nagaraj K, Mehta, Amita

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Stochastic Gradient MCMC for Massive Geostatistical Data von Abba, Mohamed A, Reich, Brian J, Majumder, Reetam, Feng, Brandon

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Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process von Majumder, Reetam, Reich, Brian J, Shaby, Benjamin A

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Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud von Majumder, Reetam, Shaby, Benjamin A, Reich, Brian J, Cooley, Daniel

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Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes von Feng, Brandon R, Majumder, Reetam, Reich, Brian J, Abba, Mohamed A

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SPQR: An R Package for Semi-Parametric Density and Quantile Regression von Xu, Steven G, Majumder, Reetam, Reich, Brian J

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Deep Learning of Multivariate Extremes via a Geometric Representation von Murphy-Barltrop, Callum J R, Majumder, Reetam, Richards, Jordan

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Stochastic Precipitation Generation for the Chesapeake Bay Watershed using Hidden Markov Models with Variational Bayes Parameter Estimation von Majumder, Reetam, Neerchal, Nagaraj K, Mehta, Amita

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Semiparametric Estimation of the Shape of the Limiting Bivariate Point Cloud von Majumder, Reetam, Shaby, Benjamin A, Reich, Brian J, Cooley, Daniel

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Stochastic Gradient MCMC for Massive Geostatistical Data von Abba, Mohamed A, Reich, Brian J, Majumder, Reetam, Feng, Brandon

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