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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

16 July 2015

Papers citing "Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC"

50 / 168 papers shown

Title
Learning Choice Functions with Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 57 5 0 01 Feb 2023
Design and Structure Dependent Priors for Scale Parameters in Latent Gaussian Models A. Gardini F. Greco C. Trivisano 45 0 0 19 Dec 2022
Modelling and analysis of rank ordered data with ties via a generalized Plackett-Luce model D. Henderson 22 2 0 16 Dec 2022
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 88 1 0 18 Nov 2022
The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic Christian Morgenstern D. Laydon C. Whittaker Swapnil Mishra D. Haw Samir Bhatt N. Ferguson 50 0 0 31 Oct 2022
Modeling structure-building in the brain with CCG parsing and large language models Miloš Stanojević Jonathan Brennan Donald Dunagan Mark Steedman John T. Hale 42 14 0 28 Oct 2022
SPQR: An R Package for Semi-Parametric Density and Quantile Regression Steven G. Xu Reetam Majumder Brian J. Reich 46 0 0 26 Oct 2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 75 1 0 20 Oct 2022
Leave-group-out cross-validation for latent Gaussian models Zhedong Liu Haavard Rue 71 16 0 10 Oct 2022
Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling I. Hawryluk H. Hoeltgebaum Cole Sodja Tyler Lalicker Joshua Neil 38 0 0 20 Sep 2022
Robust leave-one-out cross-validation for high-dimensional Bayesian models Luca Silva Giacomo Zanella 40 8 0 19 Sep 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 222 47 0 17 Sep 2022
Better Peer Grading through Bayesian Inference Hedayat Zarkoob G. dÉon Lena Podina Kevin Leyton-Brown 25 7 0 02 Sep 2022
Bayesian order identification of ARMA models with projection predictive inference Yann McLatchie Asael Alonzo Matamoros David Kohns Aki Vehtari 52 1 0 31 Aug 2022
Multi-Model Probabilistic Programming Ryan Bernstein 32 1 0 12 Aug 2022
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets Jacques Wainer 81 10 0 09 Aug 2022
A Bayesian hierarchical framework for emulating a complex crop yield simulator M. M. Hasan J. Cumming 31 0 0 26 Jul 2022
Bayesian Modeling of Language-Evoked Event-Related Potentials Davide Turco Conor J. Houghton 35 2 0 07 Jul 2022
Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables Patrícia Martinková František Bartoš M. Brabec 49 8 0 05 Jul 2022
Bayesian NVH metamodels to assess interior cabin noise using measurement databases V. Prakash O. Sauvage J. Antoni L. Gagliardini 24 1 0 12 Jun 2022
Mathematical Theory of Bayesian Statistics for Unknown Information Source Sumio Watanabe 68 9 0 11 Jun 2022
On the safe use of prior densities for Bayesian model selection F. Llorente Luca Martino E. Curbelo J. Lopez-Santiago D. Delgado 116 17 0 10 Jun 2022
Bayesian additive regression trees for probabilistic programming Miriana Quiroga P. Garay J. M. Alonso J. M. Loyola Osvaldo A. Martin 96 6 0 08 Jun 2022
A modeler's guide to extreme value software Léo R. Belzile Christophe Dutang P. Northrop Thomas Opitz 52 15 0 16 May 2022
Particle algorithms for maximum likelihood training of latent variable models Juan Kuntz Jen Ning Lim A. M. Johansen FedML 109 23 0 27 Apr 2022
Scalable Semi-Modular Inference with Variational Meta-Posteriors Chris U. Carmona Geoff K. Nicholls 51 11 0 01 Apr 2022
Generalization Through The Lens Of Leave-One-Out Error Gregor Bachmann Thomas Hofmann Aurelien Lucchi 136 8 0 07 Mar 2022
Bayesian community detection for networks with covariates Luyi W. Shen Arash A. Amini Nathaniel Josephs Lizhen Lin 56 6 0 04 Mar 2022
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing Tyler Cody Erin Lanus Daniel D. Doyle Laura J. Freeman 45 24 0 28 Jan 2022
A pragmatic account of the weak evidence effect Samuel A. Barnett Thomas Griffiths Robert D. Hawkins AAML 50 8 0 07 Dec 2021
History and Nature of the Jeffreys-Lindley Paradox E. Wagenmakers A. Ly 128 24 0 19 Nov 2021
Clustering of longitudinal data: A tutorial on a variety of approaches N. D. Teuling Steffen Pauws Edwin R. van den Heuvel 26 8 0 10 Nov 2021
Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap E. Pompe Pierre E. Jacob 80 14 0 21 Oct 2021
Choice functions based multi-objective Bayesian optimisation A. Benavoli Dario Azzimonti Dario Piga 74 1 0 15 Oct 2021
Systematic Inequalities in Language Technology Performance across the World's Languages Damián E. Blasi Antonios Anastasopoulos Graham Neubig 164 141 0 13 Oct 2021
Predicting the Popularity of Games on Steam Andraz De Luisa Jan Hartman David Nabergoj S. Pahor M. Rus Bozhidar Stevanoski J. Demšar Erik Štrumbelj 26 0 0 06 Oct 2021
Dirichlet Mechanism for Differentially Private KL Divergence Minimization Donlapark Ponnoprat 51 1 0 03 Oct 2021
Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA Sona Hunanyan Håvard Rue M. Plummer M. Roos 77 2 0 24 Sep 2021
Statistical Analysis of ReRAM-PUF based Keyless Encryption Protocol Against Frequency Analysis Attack Dina Ghanai Miandoab Sareh Assiri Joseph Mihaljevic B. Cambou 17 2 0 22 Sep 2021
JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software Mario Beraha Daniel Falco A. Guglielmi 37 8 0 20 Jul 2021
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference Luiza S. C. Piancastelli Nial Friel W. Barreto‐Souza H. Ombao 63 10 0 15 Jul 2021
Posterior Covariance Information Criterion for Weighted Inference Y. Iba Keisuke Yano 45 3 0 25 Jun 2021
A numerically stable online implementation and exploration of WAIC through variations of the predictive density, using NIMBLE Joshua E. Hug C. Paciorek 26 1 0 25 Jun 2021
Conformal Bayesian Computation Edwin Fong Chris Holmes 208 24 0 11 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching Tomas Folke Scott Cheng-Hsin Yang S. Anderson Patrick Shafto 51 19 0 08 Jun 2021
Testing Rankings with Cross-Validation B. Sziklai Máté Baranyi Károly Héberger 13 0 0 25 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 140 440 0 24 May 2021
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models S. Lazic Dominic P. Williams UD 61 14 0 18 May 2021
BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression Zhi Zhao Marco Banterle L. Bottolo S. Richardson A. Lewin M. Zucknick 29 10 0 28 Apr 2021
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles Neslihan Suzen A. Gorban J. Levesley Evgeny Mirkes 52 2 0 26 Apr 2021