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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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DOI
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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DOI
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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DOI
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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DOI
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