Package ‘loo’ July 3, 2024 Type Package Title Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models Version 2.8.0 Date 2024-07-03

I am an Associate Professor (Tenure-track) at the School of Mathematical Sciences at Shanghai Jiao Tong University (SJTU). I graduated from the Institute for Financial Studies at Shandong University in 2016 and the Department of Mathematics and Statistics at …

Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <...

2024年7月3日 · This vignette demonstrates how to use the loo package to carry out Pareto smoothed importance-sampling leave-one-out cross-validation (PSIS-LOO) for purposes of model checking and model...

LUO Jun is a Professor of Management Science in Antai College of Economics and Management at Shanghai Jiao Tong University. He received his PhD degree in Industrial Engineering and Logistics...

2024年7月3日 · To demonstrate how to use loo package to compute Bayesian stacking and Pseudo-BMA weights, we repeat two simple model averaging examples from Chapters 6 and 10 of Statistical Rethinking by...

2023年3月30日 · This vignette demonstrates how to do leave-one-out cross-validation for large data using the loo package and Stan. There are two approaches covered: LOO with subsampling and LOO using...

2024年7月3日 · This vignette demonstrates how to write a Stan program that computes and stores the pointwise log-likelihood required for using the loo package. The other vignettes included with the package...

2024年2月24日 · This vignette demonstrates how to do holdout validation and K-fold cross-validation with loo for a Stan program.

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