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Case-deletion importance sampling estimators: Central limit theorems and
  related results
v1v2 (latest)

Case-deletion importance sampling estimators: Central limit theorems and related results

4 July 2008
I. Epifani
S. MacEachern
M. Peruggia
ArXiv (abs)PDFHTML

Papers citing "Case-deletion importance sampling estimators: Central limit theorems and related results"

11 / 11 papers shown
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
Sumio Watanabe
419
1
0
31 May 2024
Recent Advances in Algebraic Geometry and Bayesian Statistics
Recent Advances in Algebraic Geometry and Bayesian StatisticsInformation Geometry (IG), 2022
Sumio Watanabe
367
4
0
18 Nov 2022
Robust leave-one-out cross-validation for high-dimensional Bayesian
  models
Robust leave-one-out cross-validation for high-dimensional Bayesian modelsJournal of the American Statistical Association (JASA), 2022
Luca Silva
T. Rigon
214
17
0
19 Sep 2022
Mathematical Theory of Bayesian Statistics for Unknown Information
  Source
Mathematical Theory of Bayesian Statistics for Unknown Information Source
Sumio Watanabe
453
11
0
11 Jun 2022
Challenges and Opportunities in High-dimensional Variational Inference
Challenges and Opportunities in High-dimensional Variational InferenceNeural Information Processing Systems (NeurIPS), 2021
Akash Kumar Dhaka
Alejandro Catalina
Manushi K. V. Welandawe
Michael Riis Andersen
Jonathan H. Huggins
Aki Vehtari
242
49
0
01 Mar 2021
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
231
23
0
02 Oct 2018
Yes, but Did It Work?: Evaluating Variational Inference
Yes, but Did It Work?: Evaluating Variational Inference
Yuling Yao
Aki Vehtari
Daniel P. Simpson
Andrew Gelman
344
152
0
07 Feb 2018
Practical Bayesian model evaluation using leave-one-out cross-validation
  and WAIC
Practical Bayesian model evaluation using leave-one-out cross-validation and WAICStatistics and computing (Stat. Comput.), 2015
Aki Vehtari
Andrew Gelman
Jonah Gabry
504
4,788
0
16 Jul 2015
Pareto Smoothed Importance Sampling
Pareto Smoothed Importance SamplingJournal of machine learning research (JMLR), 2015
Aki Vehtari
Daniel Simpson
Andrew Gelman
Yuling Yao
Jonah Gabry
687
284
0
09 Jul 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
250
6
0
27 Mar 2015
Bayesian leave-one-out cross-validation approximations for Gaussian
  latent variable models
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable modelsJournal of machine learning research (JMLR), 2014
Aki Vehtari
Tommi Mononen
Ville Tolvanen
Tuomas Sivula
Ole Winther
UQCVBDL
466
86
0
23 Dec 2014
1
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