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Data augmentation for models based on rejection sampling
v1v2 (latest)

Data augmentation for models based on rejection sampling

25 June 2014
Vinayak A. Rao
Lizhen Lin
David B. Dunson
    BDL
ArXiv (abs)PDFHTML

Papers citing "Data augmentation for models based on rejection sampling"

7 / 7 papers shown
Title
Marginally Constrained Nonparametric Bayesian Inference through Gaussian
  Processes
Marginally Constrained Nonparametric Bayesian Inference through Gaussian Processes
Bingjing Tang
Vinayak A. Rao
24
0
0
28 Sep 2022
Measuring Sample Quality in Algorithms for Intractable Normalizing
  Function Problems
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
Bokgyeong Kang
John Hughes
M. Haran
TPM
53
1
0
10 Sep 2021
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal
Subhajit Sengupta
Riten Mitra
Arunava Banerjee
136
1
0
09 Jul 2019
Random orthogonal matrices and the Cayley transform
Random orthogonal matrices and the Cayley transform
Michael Jauch
P. Hoff
David B. Dunson
121
19
0
05 Oct 2018
Flexible Mixture Modeling on Constrained Spaces
Flexible Mixture Modeling on Constrained Spaces
P. A. Sudyanti
Vinayak A. Rao
65
1
0
24 Sep 2018
Bayesian inference, model selection and likelihood estimation using fast
  rejection sampling: the Conway-Maxwell-Poisson distribution
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution
Alan Benson
Nial Friel
84
28
0
11 Sep 2017
Exploiting Multi-Core Architectures for Reduced-Variance Estimation with
  Intractable Likelihoods
Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods
Nial Friel
Antonietta Mira
Chris J. Oates
105
26
0
20 Aug 2014
1