research
∙
06/23/2023
Semiparametric Estimation of the Shape of the Limiting Multivariate Point Cloud
We propose a model to flexibly estimate joint tail properties by exploit...
share
research
∙
12/14/2022
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...
research
∙
10/26/2022
SPQR: An R Package for Semi-Parametric Density and Quantile Regression
We develop an R package SPQR that implements the semi-parametric quantil...
research
∙
10/09/2022
Stochastic Precipitation Generation for the Chesapeake Bay Watershed using Hidden Markov Models with Variational Bayes Parameter Estimation
Stochastic precipitation generators (SPGs) are a class of statistical mo...
research
∙
08/05/2022