ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1004.2316
  4. Cited By
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable
  Information Criterion in Singular Learning Theory
v1v2 (latest)

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

14 April 2010
Sumio Watanabe
ArXiv (abs)PDFHTML

Papers citing "Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory"

38 / 138 papers shown
Title
Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for
  Hierarchical Models
Approximate Bayesian Inference via Sparse grid Quadrature Evaluation for Hierarchical Models
Joshua Hewitt
J. Hoeting
TPM
29
5
0
15 Apr 2019
Automated Model Selection with Bayesian Quadrature
Automated Model Selection with Bayesian Quadrature
Henry Chai
Jean-François Ton
Roman Garnett
Michael A. Osborne
92
11
0
26 Feb 2019
A Bayesian Cognition Approach to Improve Data Visualization
A Bayesian Cognition Approach to Improve Data Visualization
Yea-Seul Kim
Logan Walls
P. Krafft
Jessica Hullman
50
71
0
09 Jan 2019
Asymptotic Analysis of the Bayesian Likelihood Ratio for Testing
  Homogeneity in Normal Mixture Models
Asymptotic Analysis of the Bayesian Likelihood Ratio for Testing Homogeneity in Normal Mixture Models
Natsuki Kariya
Sumio Watanabe
19
0
0
09 Dec 2018
GPdoemd: a Python package for design of experiments for model
  discrimination
GPdoemd: a Python package for design of experiments for model discrimination
Simon Olofsson
Lukas Hebing
Sebastian Niedenführ
M. Deisenroth
Ruth Misener
49
18
0
05 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyun-Jae Choi
Eric Jang
Alexander A. Alemi
OODD
103
82
0
02 Oct 2018
Variational Approximation Error in Bayesian Non-negative Matrix
  Factorization
Variational Approximation Error in Bayesian Non-negative Matrix Factorization
Naoki Hayashi
66
8
0
09 Sep 2018
Bayesian cross-validation of geostatistical models
Bayesian cross-validation of geostatistical models
Viviana G. R. Lobo
T. C. Fonseca
Fernando A. S. Moura
28
2
0
16 Feb 2018
Bayesian comparison of latent variable models: Conditional vs marginal
  likelihoods
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods
Edgar C. Merkle
Daniel Furr
S. Rabe-Hesketh
83
75
0
13 Feb 2018
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation
  and Stochastic Matrix Factorization
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization
Naoki Hayashi
Sumio Watanabe
79
6
0
13 Sep 2017
Fast and accurate Bayesian model criticism and conflict diagnostics
  using R-INLA
Fast and accurate Bayesian model criticism and conflict diagnostics using R-INLA
Egil Ferkingstad
L. Held
H. Rue
41
13
0
10 Aug 2017
spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Haiming Zhou
T. Hanson
Jiajia Zhang
24
48
0
10 May 2017
Maximizing the information learned from finite data selects a simple
  model
Maximizing the information learned from finite data selects a simple model
Henry H. Mattingly
Mark K. Transtrum
Michael C. Abbott
B. Machta
77
44
0
02 May 2017
BDSAR: a new package on Bregman divergence for Bayesian simultaneous
  autoregressive models
BDSAR: a new package on Bregman divergence for Bayesian simultaneous autoregressive models
I. M. Danilevicz
R. Ehlers
33
1
0
24 Apr 2017
Using stacking to average Bayesian predictive distributions
Using stacking to average Bayesian predictive distributions
Yuling Yao
Aki Vehtari
Daniel P. Simpson
Andrew Gelman
113
342
0
06 Apr 2017
Determination of hysteresis in finite-state random walks using Bayesian cross validation
Joshua C. Chang
27
0
0
21 Feb 2017
Posterior Dispersion Indices
Posterior Dispersion Indices
A. Kucukelbir
David M. Blei
32
0
0
24 May 2016
A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics
A Bayesian Group Sparse Multi-Task Regression Model for Imaging Genetics
K. Greenlaw
E. Szefer
J. Graham
M. Lesperance
F. Nathoo
43
51
0
07 May 2016
Regularization Parameter Selection for a Bayesian Multi-Level Group
  Lasso Regression Model with Application to Imaging Genomics
Regularization Parameter Selection for a Bayesian Multi-Level Group Lasso Regression Model with Application to Imaging Genomics
F. Nathoo
K. Greenlaw
M. Lesperance
48
5
0
27 Mar 2016
Bayesian inference and model comparison for metallic fatigue data
Bayesian inference and model comparison for metallic fatigue data
I. Babuska
Zaid Sawlan
M. Scavino
Barna Szabó
Raúl Tempone
39
59
0
06 Dec 2015
blavaan: Bayesian structural equation models via parameter expansion
blavaan: Bayesian structural equation models via parameter expansion
Edgar C. Merkle
Y. Rosseel
65
254
0
17 Nov 2015
Information Theory and Statistics: an overview
Information Theory and Statistics: an overview
Daniel Commenges
41
11
0
03 Nov 2015
Bayesian Estimation of Multidimensional Latent Variables and Its
  Asymptotic Accuracy
Bayesian Estimation of Multidimensional Latent Variables and Its Asymptotic Accuracy
Keisuke Yamazaki
43
0
0
05 Oct 2015
Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Aki Vehtari
Andrew Gelman
Jonah Gabry
164
4,090
0
16 Jul 2015
A priori truncation method for posterior sampling from homogeneous
  normalized completely random measure mixture models
A priori truncation method for posterior sampling from homogeneous normalized completely random measure mixture models
R. Argiento
Ilaria Bianchini
A. Guglielmi
79
4
0
16 Jul 2015
Pareto Smoothed Importance Sampling
Pareto Smoothed Importance Sampling
Aki Vehtari
Daniel Simpson
Andrew Gelman
Yuling Yao
Jonah Gabry
145
242
0
09 Jul 2015
Programming with models: writing statistical algorithms for general
  model structures with NIMBLE
Programming with models: writing statistical algorithms for general model structures with NIMBLE
P. de Valpine
Daniel Turek
C. Paciorek
Clifford Anderson-Bergman
D. Lang
Rastislav Bodík
100
858
0
19 May 2015
Comparison of Bayesian predictive methods for model selection
Comparison of Bayesian predictive methods for model selection
Juho Piironen
Aki Vehtari
117
281
0
30 Mar 2015
Bayesian Cross Validation and WAIC for Predictive Prior Design in
  Regular Asymptotic Theory
Bayesian Cross Validation and WAIC for Predictive Prior Design in Regular Asymptotic Theory
Sumio Watanabe
51
6
0
27 Mar 2015
Marginal likelihood and model selection for Gaussian latent tree and
  forest models
Marginal likelihood and model selection for Gaussian latent tree and forest models
Mathias Drton
Shaowei Lin
Luca Weihs
Piotr Zwiernik
60
30
0
29 Dec 2014
Bayesian leave-one-out cross-validation approximations for Gaussian
  latent variable models
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models
Aki Vehtari
Tommi Mononen
Ville Tolvanen
Tuomas Sivula
Ole Winther
UQCVBDL
96
77
0
23 Dec 2014
Parameter inference and model selection in deterministic and stochastic
  dynamical models via approximate Bayesian computation: modeling a wildlife
  epidemic
Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic
Libo Sun
Chihoon Lee
J. Hoeting
90
28
0
26 Sep 2014
A Widely Applicable Bayesian Information Criterion
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
126
790
0
31 Aug 2012
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
J. Vanhatalo
J. Riihimaki
Jouni Hartikainen
Pasi Jylänki
Ville Tolvanen
Aki Vehtari
GP
97
46
0
25 Jun 2012
The Quantum Relative Entropy as a Rate Function and Information Criteria
The Quantum Relative Entropy as a Rate Function and Information Criteria
K. Okamura
57
3
0
14 Feb 2012
Statistical Learning Theory of Quasi-Regular Cases
Statistical Learning Theory of Quasi-Regular Cases
Koshi Yamada
Sumio Watanabe
71
3
0
08 Nov 2011
Large Deviation Strategy for Inverse Problem
Large Deviation Strategy for Inverse Problem
I. Ojima
K. Okamura
70
5
0
19 Jan 2011
An asymptotic approximation of the marginal likelihood for general
  Markov models
An asymptotic approximation of the marginal likelihood for general Markov models
Piotr Zwiernik
89
4
0
03 Dec 2010
Previous
123