1.7k citations · 4.6k across the 36 of their papers we have counts for
40 papers
Bayesian cross-validation by parallel Markov Chain Monte Carlo
Alex Cooper, Aki Vehtari, Catherine Forbes +2
Brute force cross-validation (CV) is a method for predictive assessment and model selection that is general and applicable to a wide range of Bayesian models. Naive or `brute force…
Thermodynamic Linear Algebra
Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon +5
Linear algebraic primitives are at the core of many modern algorithms in engineering, science, and machine learning. Hence, accelerating these primitives with novel computing hardw…
Cross-validatory model selection for Bayesian autoregressions with exogenous regressors
Alex Cooper, Dan Simpson, Lauren Kennedy +2
Bayesian cross-validation (CV) is a popular method for predictive model assessment that is simple to implement and broadly applicable. A wide range of CV schemes is available for t…
Treatment effect estimation with Multilevel Regression and Poststratification
Yuxiang Gao, Lauren Kennedy, Daniel Simpson
Multilevel regression and poststratification (MRP) is a flexible modeling technique that has been used in a broad range of small-area estimation problems. Traditionally, MRP studie…
Bayesian Workflow
Andrew Gelman, Aki Vehtari, Daniel Simpson +7
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Probabilis…
Using sex and gender in survey adjustment
Lauren Kennedy, Katharine Khanna, Daniel Simpson +3
Accounting for sex and gender is a challenge in social science research. While other methodology papers consider issues surrounding appropriate measurement, we consider the problem…