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A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
Extreme streamflow is a key indicator of flood risk, and quantifying the changes in its distribution under non-stationary climate …
R. Majumder, B.J. Reich
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Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
Quantifying changes in the probability and magnitude of extreme flooding events is key to mitigating their impacts. While hydrodynamic …
R. Majumder, B.J. Reich, B.A. Shaby
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Optimal stock portfolio selection with a multivariate hidden Markov model
The underlying market trends that drive stock price fluctuations are often referred to in terms of bull and bear markets. Optimal stock …
R. Majumder, Q. Ji, N.K. Neerchal
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MicroRNA profiling in kidney disease: Plasma versus plasma-derived exosomes
Liquid biopsies have advanced rapidly in recent years for use in diagnostic and prognostic applications. One important aspect of this …
J. X. Xie, X. Fan, C. A. Drummond, R. Majumder, Y. Xie, T. Chen, L. Liu, S. T. Haller, P. S. Brewster, L. D. Dworkin, C. J. Cooper, J. Tian
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