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Comparison of Bayesian predictive methods for model selection

30 March 2015

Papers citing "Comparison of Bayesian predictive methods for model selection"

46 / 46 papers shown

Title
The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions David Kohns Noa Kallioinen Yann McLatchie Aki Vehtari 69 1 0 30 May 2024
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis Anna Elisabeth Riha Nikolas Siccha Antti Oulasvirta Aki Vehtari 69 0 0 02 Apr 2024
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes J. Hauth Cosmin Safta Xun Huan Ravi G. Patel Reese E. Jones BDL UQCV 72 2 0 17 Feb 2024
Perturbative partial moment matching and gradient-flow adaptive importance sampling transformations for Bayesian leave one out cross-validation Joshua C. Chang Xiangting Li Shixin Xu Hao-Ren Yao Julia Porcino Carson C. Chow 90 0 0 13 Feb 2024
A Bayesian approach to functional regression: theory and computation J. Berrendero A. Coín Antonio Cuevas 51 0 0 21 Dec 2023
On the Properties and Estimation of Pointwise Mutual Information Profiles Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 75 3 0 16 Oct 2023
Efficient estimation and correction of selection-induced bias with order statistics Yann McLatchie Aki Vehtari 49 2 0 07 Sep 2023
Tuning structure learning algorithms with out-of-sample and resampling strategies Kiattikun Chobtham Anthony C. Constantinou CML 62 2 0 24 Jun 2023
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas Mohamed Tarek J. Storópoli Casey B. Davis C. Elrod Julius Krumbiegel Chris Rackauckas V. Ivaturi GP 59 3 0 31 Mar 2023
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 222 47 0 17 Sep 2022
Bayesian order identification of ARMA models with projection predictive inference Yann McLatchie Asael Alonzo Matamoros David Kohns Aki Vehtari 43 1 0 31 Aug 2022
Multi-Model Probabilistic Programming Ryan Bernstein 26 1 0 12 Aug 2022
On the safe use of prior densities for Bayesian model selection F. Llorente Luca Martino E. Curbelo J. Lopez-Santiago D. Delgado 108 17 0 10 Jun 2022
Latent space projection predictive inference Alejandro Catalina Paul-Christian Bürkner Aki Vehtari BDL 45 11 0 10 Sep 2021
Bayesian hierarchical stacking: Some models are (somewhere) useful Yuling Yao Gregor Pirvs Aki Vehtari Andrew Gelman 43 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 37 4 0 08 Dec 2020
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 125 377 0 04 Dec 2020
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models Alejandro Catalina Paul-Christian Bürkner Aki Vehtari 33 28 0 14 Oct 2020
Posterior Averaging Information Criterion Shouhao Zhou 18 4 0 19 Sep 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 60 0 0 27 May 2020
Marginal likelihood computation for model selection and hypothesis testing: an extensive review F. Llorente Luca Martino D. Delgado J. Lopez-Santiago 94 85 0 17 May 2020
Using reference models in variable selection Federico Pavone Juho Piironen Paul-Christian Bürkner Aki Vehtari 32 28 0 27 Apr 2020
lgpr: An interpretable nonparametric method for inferring covariate effects from longitudinal data Juho Timonen Henrik Mannerstrom Aki Vehtari Harri Lähdesmäki 48 15 0 07 Dec 2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models Joshua C. Chang Shashaank Vattikuti Carson C. Chow 33 6 0 05 Dec 2019
Implicitly Adaptive Importance Sampling Topi Paananen Juho Piironen Paul-Christian Bürkner Aki Vehtari 30 3 0 20 Jun 2019
Model Validation Using Mutated Training Labels: An Exploratory Study Jie M. Zhang Mark Harman Benjamin Guedj Earl T. Barr John Shawe-Taylor 20 7 0 24 May 2019
Bayesian Item Response Modeling in R with brms and Stan Paul-Christian Bürkner 60 403 0 23 May 2019
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths Alex Kale Matthew Kay Jessica Hullman 57 42 0 09 Jan 2019
Limitations of "Limitations of Bayesian leave-one-out cross-validation for model selection" Aki Vehtari Daniel P. Simpson Yuling Yao Andrew Gelman 64 52 0 12 Oct 2018
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections Tomi Peltola FAtt BDL 68 40 0 05 Oct 2018
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 74 96 0 04 Oct 2018
The Median Probability Model and Correlated Variables Marilena Barbieri J. Berger E. George Veronika Rockova 46 44 0 22 Jul 2018
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods Edgar C. Merkle Daniel Furr S. Rabe-Hesketh 83 75 0 13 Feb 2018
Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case Study Lorin Crawford Seth R. Flaxman D. Runcie M. West 49 28 0 22 Jan 2018
Model Averaging and its Use in Economics M. Steel MoMe 58 245 0 24 Sep 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 105 342 0 06 Apr 2017
Marginal likelihood based model comparison in Fuzzy Bayesian Learning Indranil Pan Dirk W. Bester 28 3 0 29 Mar 2017
Tree Ensembles with Rule Structured Horseshoe Regularization Malte Nalenz M. Villani 65 21 0 16 Feb 2017
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 94 74 0 07 Jul 2016
Posterior Dispersion Indices A. Kucukelbir David M. Blei 32 0 0 24 May 2016
Mode jumping MCMC for Bayesian variable selection in GLMM A. Hubin G. Storvik 67 29 0 21 Apr 2016
Fast methods for training Gaussian processes on large data sets C. Moore A. J. Chua C. Berry J. Gair GP 68 41 0 05 Apr 2016
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 141 4,089 0 16 Jul 2015
Information-based inference for singular models and finite sample sizes: A frequentist information criterion Colin H. LaMont Paul A. Wiggins 53 4 0 19 Jun 2015
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models Aki Vehtari Tommi Mononen Ville Tolvanen Tuomas Sivula Ole Winther UQCV BDL 94 77 0 23 Dec 2014
Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection Longhai Li W. Yao BDL 90 13 0 13 May 2014