3 papers
stat.ME2026
Three Case Studies of Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Data
Mostafa Shams, Robert Erhardt, Staci Hepler
High dimensional spatio-temporal models can quickly run up against computational limitations. Recursive or multi-stage Bayesian algorithms are one way to address this computational…
stat.AP2026
The Impact of a Gridded Streamflow Measure on Drought Variation in the Conterminous United States
Rob Erhardt, Courtney Di Vittorio, Staci Hepler +3
Models for droughts draw on a wide range of meteorological and hydrological inputs. Stakeholders classify droughts according to different purposes and priorities, and accordingly r…
stat.ME2023
Modeling Insurance Claims using Bayesian Nonparametric Regression
Mostafa Shams Esfand Abadi, Kaushik Ghosh
The prediction of future insurance claims based on observed risk factors, or covariates, help the actuary set insurance premiums. Typically, actuaries use parametric regression mod…