From 25748e84b367ca469b11a279ff9773a870525f53 Mon Sep 17 00:00:00 2001 From: Aki Vehtari Date: Fri, 12 Apr 2024 18:58:16 +0300 Subject: [PATCH] update references --- R/cv_varsel.R | 23 +++++++++++------------ 1 file changed, 11 insertions(+), 12 deletions(-) diff --git a/R/cv_varsel.R b/R/cv_varsel.R index b92300bae..ef1e4416a 100644 --- a/R/cv_varsel.R +++ b/R/cv_varsel.R @@ -102,20 +102,19 @@ #' #' @references #' -#' Magnusson, Måns, Michael Andersen, Johan Jonasson, and Aki Vehtari. 2019. -#' "Bayesian Leave-One-Out Cross-Validation for Large Data." In *Proceedings of -#' the 36th International Conference on Machine Learning*, edited by Kamalika -#' Chaudhuri and Ruslan Salakhutdinov, 97:4244--53. Proceedings of Machine -#' Learning Research. PMLR. -#' . +#' Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari +#' (2020). Leave-one-out cross-validation for Bayesian model +#' comparison in large data. Proceedings of the 23rd International +#' Conference on Artificial Intelligence and Statistics (AISTATS), +#' PMLR 108:341-351. #' -#' Vehtari, Aki, Andrew Gelman, and Jonah Gabry. 2017. "Practical Bayesian Model -#' Evaluation Using Leave-One-Out Cross-Validation and WAIC." *Statistics and -#' Computing* 27 (5): 1413--32. \doi{10.1007/s11222-016-9696-4}. +#' Aki Vehtari, Andrew Gelman, and Jonah Gabry (2017). Practical Bayesian Model +#' Evaluation Using Leave-One-Out Cross-Validation and WAIC. Statistics and +#' Computing, 27(5):1413--32. \doi{10.1007/s11222-016-9696-4}. #' -#' Vehtari, Aki, Daniel Simpson, Andrew Gelman, Yuling Yao, and Jonah Gabry. -#' 2022. "Pareto Smoothed Importance Sampling." arXiv. -#' \doi{10.48550/arXiv.1507.02646}. +#' Aki Vehtari, Daniel Simpson, Andrew Gelman, Yuling Yao, and Jonah +#' Gabry (2024). Pareto smoothed importance sampling. Journal of +#' Machine Learning Research, 25(72):1-58. #' #' @seealso [varsel()] #'