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

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

14 April 2010
Sumio Watanabe
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Papers citing "Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory"

38 / 138 papers shown
Title
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
4
70
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
6
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
14
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
12
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
14
7
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
16
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
10
71
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
9
5
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
17
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
11
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
M. Transtrum
Michael C. Abbott
B. Machta
17
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
24
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
23
335
0
06 Apr 2017
Determination of hysteresis in finite-state random walks using Bayesian cross validation
Joshua C. Chang
13
0
0
21 Feb 2017
Posterior Dispersion Indices
Posterior Dispersion Indices
A. Kucukelbir
David M. Blei
24
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
10
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
12
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
11
58
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
8
252
0
17 Nov 2015
Information Theory and Statistics: an overview
Information Theory and Statistics: an overview
Daniel Commenges
16
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
21
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
18
3,983
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
18
4
0
16 Jul 2015
Pareto Smoothed Importance Sampling
Pareto Smoothed Importance Sampling
Aki Vehtari
Daniel Simpson
Andrew Gelman
Yuling Yao
Jonah Gabry
13
236
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
34
831
0
19 May 2015
Comparison of Bayesian predictive methods for model selection
Comparison of Bayesian predictive methods for model selection
Juho Piironen
Aki Vehtari
14
279
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
27
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
22
28
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
UQCV
BDL
22
76
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
27
28
0
26 Sep 2014
A Widely Applicable Bayesian Information Criterion
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
36
768
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
27
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
42
3
0
14 Feb 2012
Statistical Learning Theory of Quasi-Regular Cases
Statistical Learning Theory of Quasi-Regular Cases
Koshi Yamada
Sumio Watanabe
56
3
0
08 Nov 2011
Large Deviation Strategy for Inverse Problem
Large Deviation Strategy for Inverse Problem
I. Ojima
K. Okamura
49
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
59
4
0
03 Dec 2010
Ideal-Theoretic Strategies for Asymptotic Approximation of Marginal
  Likelihood Integrals
Ideal-Theoretic Strategies for Asymptotic Approximation of Marginal Likelihood Integrals
Shaowei Lin
52
23
0
28 Mar 2010
Equations of States in Singular Statistical Estimation
Equations of States in Singular Statistical Estimation
Sumio Watanabe
97
83
0
05 Dec 2007
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