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Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC
v1v2v3v4v5 (latest)

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

16 July 2015
Aki Vehtari
Andrew Gelman
Jonah Gabry
ArXiv (abs)PDFHTML

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
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Andrew C. Miller
Leon A. Gatys
Joseph D. Futoma
E. Fox
63
9
0
25 Apr 2021
Modelling Heterogeneity Using Bayesian Structured Sparsity
Modelling Heterogeneity Using Bayesian Structured Sparsity
Max Goplerud
CML
67
3
0
29 Mar 2021
Phylogenetic typology
Phylogenetic typology
Gerhard Jäger
J. Wahle
21
16
0
18 Mar 2021
Bayesian hierarchical stacking: Some models are (somewhere) useful
Bayesian hierarchical stacking: Some models are (somewhere) useful
Yuling Yao
Gregor Pirvs
Aki Vehtari
Andrew Gelman
51
15
0
22 Jan 2021
Sparse encoding for more-interpretable feature-selecting representations
  in probabilistic matrix factorization
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
Challenging common interpretability assumptions in feature attribution
  explanations
Challenging common interpretability assumptions in feature attribution explanations
Jonathan Dinu
Jeffrey P. Bigham
J. Z. K. Unaffiliated
75
14
0
04 Dec 2020
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical
  Regression Models
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models
Amy Zhang
L. Bao
Changcheng Li
M. Daniels
56
1
0
29 Nov 2020
Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: the
  Case of Northern Italy
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
44
6
0
09 Nov 2020
High-dimensional modeling of spatial and spatio-temporal conditional
  extremes using INLA and Gaussian Markov random fields
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
Emma S. Simpson
Thomas Opitz
J. Wadsworth
72
16
0
09 Nov 2020
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy
  Prediction
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction
Amir Mukeri
H. Shaikh
D. Gaikwad
16
4
0
19 Oct 2020
Statistical Models for Repeated Categorical Ratings: The R Package rater
Statistical Models for Repeated Categorical Ratings: The R Package rater
Jeffrey M. Pullin
L. Gurrin
Damjan Vukcevic
70
1
0
19 Oct 2020
Projection Predictive Inference for Generalized Linear and Additive
  Multilevel Models
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Alejandro Catalina
Paul-Christian Bürkner
Aki Vehtari
45
28
0
14 Oct 2020
Posterior Averaging Information Criterion
Posterior Averaging Information Criterion
Shouhao Zhou
21
4
0
19 Sep 2020
Runtime Task Scheduling using Imitation Learning for Heterogeneous
  Many-Core Systems
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
42
31
0
18 Jul 2020
Approximate Cross-Validation for Structured Models
Approximate Cross-Validation for Structured Models
S. Ghosh
William T. Stephenson
Tin D. Nguyen
Sameer K. Deshpande
Tamara Broderick
73
16
0
23 Jun 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
92
63
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 M\mathcal{M}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
Bayesian workflow for disease transmission modeling in Stan
Bayesian workflow for disease transmission modeling in Stan
Léo Grinsztajn
Elizaveta Semenova
C. Margossian
J. Riou
43
62
0
23 May 2020
varstan: An R package for Bayesian analysis of structured time series
  models with Stan
varstan: An R package for Bayesian analysis of structured time series models with Stan
Izhar Asael Alonzo Matamoros
C. A. C. Torres
15
3
0
20 May 2020
Additive stacking for disaggregate electricity demand forecasting
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza
B. Palumbo
Y. Goude
S. Wood
Matteo Fasiolo
AI4TS
85
7
0
20 May 2020
Marginal likelihood computation for model selection and hypothesis
  testing: an extensive review
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
Group Heterogeneity Assessment for Multilevel Models
Group Heterogeneity Assessment for Multilevel Models
Topi Paananen
Alejandro Catalina
Paul-Christian Bürkner
Aki Vehtari
11
1
0
06 May 2020
Using reference models in variable selection
Using reference models in variable selection
Federico Pavone
Juho Piironen
Paul-Christian Bürkner
Aki Vehtari
41
28
0
27 Apr 2020
Practical Hilbert space approximate Bayesian Gaussian processes for
  probabilistic programming
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming
Gabriel Riutort-Mayol
Paul-Christian Bürkner
Michael R. Andersen
Arno Solin
Aki Vehtari
86
72
0
23 Apr 2020
Amortized Bayesian model comparison with evidential deep learning
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev
Marco D’Alessandro
U. Mertens
A. Voss
Ullrich Kothe
Paul-Christian Bürkner
BDL
96
34
0
22 Apr 2020
Semi-Modular Inference: enhanced learning in multi-modular models by
  tempering the influence of components
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
Chris U. Carmona
Geoff K. Nicholls
122
27
0
15 Mar 2020
Bayesian Survival Analysis Using the rstanarm R Package
Bayesian Survival Analysis Using the rstanarm R Package
S. Brilleman
E. Elçi
A. Bayer
Generable Inc
21
51
0
22 Feb 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial
  Sampling
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
B. V. Opheusden
Luigi Acerbi
W. Ma
67
37
0
12 Jan 2020
Probabilistically-autoencoded horseshoe-disentangled multidomain
  item-response theory models
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
Joshua C. Chang
Shashaank Vattikuti
Carson C. Chow
41
6
0
05 Dec 2019
Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial
  Surfaces
Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces
S. Berchuck
M. Janko
Felipe A. Medeiros
W. Pan
S. Mukherjee
57
2
0
11 Nov 2019
Prior Specification for Bayesian Matrix Factorization via Prior
  Predictive Matching
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
Eliezer de Souza da Silva
Tomasz Kuśmierczyk
M. Hartmann
Arto Klami
39
2
0
27 Oct 2019
New Development of Bayesian Variable Selection Criteria for Spatial
  Point Process with Applications
New Development of Bayesian Variable Selection Criteria for Spatial Point Process with Applications
Guanyu Hu
F. Huffer
Ming-Hui Chen
18
9
0
15 Oct 2019
Mixed pooling of seasonality for time series forecasting: An application
  to pallet transport data
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data
Hyunji Moon
Bomi Song
Hyeonseop Lee
AI4TS
18
0
0
14 Aug 2019
Strengthening the Case for a Bayesian Approach to Car-following Model
  Calibration and Validation using Probabilistic Programming
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
24
9
0
07 Aug 2019
Population Predictive Checks
Population Predictive Checks
Rajesh Ranganath
David M. Blei
Rajesh Ranganath
64
13
0
02 Aug 2019
Bayesian Variable Selection for Gaussian copula regression models
Bayesian Variable Selection for Gaussian copula regression models
Angelos N. Alexopoulos
L. Bottolo
21
11
0
18 Jul 2019
Implicitly Adaptive Importance Sampling
Implicitly Adaptive Importance Sampling
Topi Paananen
Juho Piironen
Paul-Christian Bürkner
Aki Vehtari
30
3
0
20 Jun 2019
Errors-in-variables Modeling of Personalized Treatment-Response
  Trajectories
Errors-in-variables Modeling of Personalized Treatment-Response Trajectories
Guangyi Zhang
Reza A. Ashrafi
A. Juuti
Kirsi Pietiläinen
Pekka Marttinen
CML
49
11
0
10 Jun 2019
Efficient Bayesian estimation for GARCH-type models via Sequential Monte
  Carlo
Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo
Dan Li
A. Clements
Christopher C. Drovandi
51
16
0
10 Jun 2019
Bayesian Item Response Modeling in R with brms and Stan
Bayesian Item Response Modeling in R with brms and Stan
Paul-Christian Bürkner
70
407
0
23 May 2019
On the marginal likelihood and cross-validation
On the marginal likelihood and cross-validation
Edwin Fong
Chris Holmes
UQCV
126
111
0
21 May 2019
Massive parallelization boosts big Bayesian multidimensional scaling
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew J Holbrook
P. Lemey
G. Baele
S. Dellicour
D. Brockmann
A. Rambaut
M. Suchard
43
30
0
11 May 2019
Bayesian leave-one-out cross-validation for large data
Bayesian leave-one-out cross-validation for large data
Måns Magnusson
Michael Riis Andersen
J. Jonasson
Aki Vehtari
111
26
0
24 Apr 2019
Bayes-raking: Bayesian Finite Population Inference with Known Margins
Bayes-raking: Bayesian Finite Population Inference with Known Margins
Yajuan Si
Peigen Zhou
25
9
0
08 Jan 2019
19 dubious ways to compute the marginal likelihood of a phylogenetic
  tree topology
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
51
47
0
28 Nov 2018
Limitations of "Limitations of Bayesian leave-one-out cross-validation
  for model selection"
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
Projective Inference in High-dimensional Problems: Prediction and
  Feature Selection
Projective Inference in High-dimensional Problems: Prediction and Feature Selection
Juho Piironen
Markus Paasiniemi
Aki Vehtari
74
96
0
04 Oct 2018
Unbiased estimation of log normalizing constants with applications to
  Bayesian cross-validation
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
M. Rischard
Pierre E. Jacob
Natesh Pillai
80
22
0
02 Oct 2018
Probabilistic approach to limited-data computed tomography
  reconstruction
Probabilistic approach to limited-data computed tomography reconstruction
Z. Purisha
Carl Jidling
Niklas Wahlström
Simo Särkkä
Thomas B. Schon
66
19
0
11 Sep 2018
Classifying Antimicrobial and Multifunctional Peptides with Bayesian
  Network Models
Classifying Antimicrobial and Multifunctional Peptides with Bayesian Network Models
Rainier Barrett
Shaoyi Jiang
A. White
29
19
0
17 Apr 2018
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