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
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance Andrew C. Miller Leon A. Gatys Joseph D. Futoma E. Fox 23 8 0 25 Apr 2021
Modelling Heterogeneity Using Bayesian Structured Sparsity Max Goplerud CML 15 3 0 29 Mar 2021
Phylogenetic typology Gerhard Jäger J. Wahle 11 14 0 18 Mar 2021
Bayesian hierarchical stacking: Some models are (somewhere) useful Yuling Yao Gregor Pirvs Aki Vehtari Andrew Gelman 14 15 0 22 Jan 2021
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization Joshua C. Chang P. Fletcher Ju Han Ted L.Chang Shashaank Vattikuti Bart Desmet Ayah Zirikly Carson C. Chow 4 4 0 08 Dec 2020
Challenging common interpretability assumptions in feature attribution explanations Jonathan Dinu Jeffrey P. Bigham J. Z. K. Unaffiliated 16 14 0 04 Dec 2020
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models Amy Zhang L. Bao Changcheng Li M. Daniels 6 1 0 29 Nov 2020
Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: the Case of Northern Italy Paolo Scarabaggio M. L. Scala Raffaele Carli M. Dotoli 15 6 0 09 Nov 2020
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields Emma S. Simpson Thomas Opitz J. Wadsworth 16 15 0 09 Nov 2020
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction Amir Mukeri H. Shaikh D. Gaikwad 9 4 0 19 Oct 2020
Statistical Models for Repeated Categorical Ratings: The R Package rater Jeffrey M. Pullin L. Gurrin Damjan Vukcevic 16 1 0 19 Oct 2020
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models Alejandro Catalina Paul-Christian Bürkner Aki Vehtari 8 28 0 14 Oct 2020
Posterior Averaging Information Criterion Shouhao Zhou 14 4 0 19 Sep 2020
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems A. Krishnakumar Samet E. Arda A. Alper Goksoy Sumit K. Mandal Ümit Y. Ogras A. L. Sartor R. Marculescu 9 30 0 18 Jul 2020
Approximate Cross-Validation for Structured Models S. Ghosh William T. Stephenson Tin D. Nguyen Sameer K. Deshpande Tamara Broderick 8 15 0 23 Jun 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
$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 19 0 0 27 May 2020
Bayesian workflow for disease transmission modeling in Stan Léo Grinsztajn Elizaveta Semenova C. Margossian J. Riou 6 62 0 23 May 2020
varstan: An R package for Bayesian analysis of structured time series models with Stan Izhar Asael Alonzo Matamoros C. A. C. Torres 13 3 0 20 May 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 21 6 0 20 May 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 26 83 0 17 May 2020
Group Heterogeneity Assessment for Multilevel Models Topi Paananen Alejandro Catalina Paul-Christian Bürkner Aki Vehtari 4 1 0 06 May 2020
Using reference models in variable selection Federico Pavone Juho Piironen Paul-Christian Bürkner Aki Vehtari 13 28 0 27 Apr 2020
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming Gabriel Riutort-Mayol Paul-Christian Bürkner Michael R. Andersen Arno Solin Aki Vehtari 32 68 0 23 Apr 2020
Amortized Bayesian model comparison with evidential deep learning Stefan T. Radev Marco D’Alessandro U. Mertens A. Voss Ullrich Kothe Paul-Christian Bürkner BDL 20 33 0 22 Apr 2020
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components Chris U. Carmona Geoff K. Nicholls 6 27 0 15 Mar 2020
Bayesian Survival Analysis Using the rstanarm R Package S. Brilleman E. Elçi A. Bayer Generable Inc 17 50 0 22 Feb 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 17 36 0 12 Jan 2020
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 19 6 0 05 Dec 2019
Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces S. Berchuck M. Janko Felipe A. Medeiros W. Pan S. Mukherjee 11 2 0 11 Nov 2019
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva Tomasz Kuśmierczyk M. Hartmann Arto Klami 30 2 0 27 Oct 2019
New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications Guanyu Hu F. Huffer Ming-Hui Chen 13 9 0 15 Oct 2019
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data Hyunji Moon Bomi Song Hyeonseop Lee AI4TS 11 0 0 14 Aug 2019
Strengthening the Case for a Bayesian Approach to Car-following Model Calibration and Validation using Probabilistic Programming Franklin Abodo Andrew Berthaume Stephen Zitzow-Childs Leonardo Bobadilla 11 9 0 07 Aug 2019
Population Predictive Checks Rajesh Ranganath David M. Blei Rajesh Ranganath 9 12 0 02 Aug 2019
Bayesian Variable Selection for Gaussian copula regression models Angelos N. Alexopoulos L. Bottolo 11 11 0 18 Jul 2019
Implicitly Adaptive Importance Sampling Topi Paananen Juho Piironen Paul-Christian Bürkner Aki Vehtari 15 3 0 20 Jun 2019
Errors-in-variables Modeling of Personalized Treatment-Response Trajectories Guangyi Zhang Reza A. Ashrafi A. Juuti Kirsi Pietiläinen Pekka Marttinen CML 9 11 0 10 Jun 2019
Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo Dan Li A. Clements Christopher C. Drovandi 11 16 0 10 Jun 2019
Bayesian Item Response Modeling in R with brms and Stan Paul-Christian Bürkner 11 370 0 23 May 2019
On the marginal likelihood and cross-validation Edwin Fong Chris Holmes UQCV 22 110 0 21 May 2019
Massive parallelization boosts big Bayesian multidimensional scaling Andrew J Holbrook P. Lemey G. Baele S. Dellicour D. Brockmann A. Rambaut M. Suchard 16 28 0 11 May 2019
Bayesian leave-one-out cross-validation for large data Måns Magnusson Michael Riis Andersen J. Jonasson Aki Vehtari 19 26 0 24 Apr 2019
Bayes-raking: Bayesian Finite Population Inference with Known Margins Yajuan Si Peigen Zhou 16 9 0 08 Jan 2019
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology Mathieu Fourment Andrew F. Magee Chris Whidden Arman Bilge Frederick Albert Matsen IV V. Minin 14 47 0 28 Nov 2018
Limitations of "Limitations of Bayesian leave-one-out cross-validation for model selection" Aki Vehtari Daniel P. Simpson Yuling Yao Andrew Gelman 14 52 0 12 Oct 2018
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 22 94 0 04 Oct 2018
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation M. Rischard Pierre E. Jacob Natesh Pillai 11 21 0 02 Oct 2018
Probabilistic approach to limited-data computed tomography reconstruction Z. Purisha Carl Jidling Niklas Wahlström Simo Särkkä Thomas B. Schon 28 19 0 11 Sep 2018
Classifying Antimicrobial and Multifunctional Peptides with Bayesian Network Models Rainier Barrett Shaoyi Jiang A. White 14 19 0 17 Apr 2018