Publications (4)
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…
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…
Joint leave-group-out cross-validation in Bayesian spatial models
Alex Cooper, Aki Vehtari, Catherine Forbes
Cross-validation (CV) is a widely-used method of predictive assessment based on repeated model fits to different subsets of the available data. CV is applicable in a wide range of…
XR Blocks: Accelerating Human-centered AI + XR Innovation
David Li, Nels Numan, Xun Qian +17
We are on the cusp where Artificial Intelligence (AI) and Extended Reality (XR) are converging to unlock new paradigms of interactive computing. However, a significant gap exists b…