Projective Inference in High-dimensional Problems: Prediction and Feature Selection

4 October 2018

Papers citing "Projective Inference in High-dimensional Problems: Prediction and Feature Selection"

5 / 5 papers shown

Title
The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions David Kohns Noa Kallioinen Yann McLatchie Aki Vehtari 22 0 0 30 May 2024
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference Philipp Reiser Javier Enrique Aguilar A. Guthke Paul-Christian Bürkner 38 2 0 08 Dec 2023
$Bayesian model selection in the $\mathcal{M}$-open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation$ Bayesian model selection in the $\mathcal{M}$ -open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation Riko Kelter 24 0 0 27 May 2020
A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski 17 3 0 21 Oct 2019
Limitations of "Limitations of Bayesian leave-one-out cross-validation for model selection" Aki Vehtari Daniel P. Simpson Yuling Yao Andrew Gelman 22 52 0 12 Oct 2018