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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.ME2025
Two-stage MCMC for Fast Bayesian Inference of Large Spatio-temporal Ordinal Data, with Application to US Drought
Staci Hepler, Rob Erhardt
High dimensional space-time data pose known computational challenges when fitting spatio-temporal models. Such data show dependence across several dimensions of space as well as in…
stat.ME2023
The `Why' behind including `Y' in your imputation model
Lucy D'Agostino McGowan, Sarah C. Lotspeich, Staci A. Hepler
Missing data is a common challenge when analyzing epidemiological data, and imputation is often used to address this issue. Here, we investigate the scenario where a covariate used…