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Likelihood Inflating Sampling Algorithm
v1v2v3 (latest)

Likelihood Inflating Sampling Algorithm

6 May 2016
R. Entezari
Radu V. Craiu
Jeffrey S. Rosenthal
ArXiv (abs)PDFHTML

Papers citing "Likelihood Inflating Sampling Algorithm"

12 / 12 papers shown
Approximate Methods for Bayesian Computation
Approximate Methods for Bayesian ComputationAnnual Review of Statistics and Its Application (ARSIA), 2022
Radu V. Craiu
Evgeny Levi
228
6
0
06 Oct 2022
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Callum Vyner
Christopher Nemeth
Chris Sherlock
273
28
0
08 Aug 2022
MCMC-driven importance samplers
MCMC-driven importance samplersApplied Mathematical Modelling (AMM), 2021
F. Llorente
E. Curbelo
Luca Martino
Victor Elvira
D. Delgado
500
13
0
06 May 2021
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian
  Process Prior
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process PriorJournal of machine learning research (JMLR), 2020
Rajarshi Guhaniyogi
Cheng Li
T. Savitsky
Sanvesh Srivastava
264
30
0
01 Jun 2020
Consensus Monte Carlo for Random Subsets using Shared Anchors
Consensus Monte Carlo for Random Subsets using Shared AnchorsJournal of Computational And Graphical Statistics (JCGS), 2019
Yang Ni
Yuan Ji
P. Müller
221
17
0
28 Jun 2019
Sparse Variational Inference: Bayesian Coresets from Scratch
Sparse Variational Inference: Bayesian Coresets from ScratchNeural Information Processing Systems (NeurIPS), 2019
Trevor Campbell
Boyan Beronov
308
42
0
07 Jun 2019
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian
  Methods
Finding our Way in the Dark: Approximate MCMC for Approximate Bayesian MethodsBayesian Analysis (BA), 2019
Evgeny Levi
Radu V. Craiu
232
8
0
16 May 2019
Method G: Uncertainty Quantification for Distributed Data Problems using
  Generalized Fiducial Inference
Method G: Uncertainty Quantification for Distributed Data Problems using Generalized Fiducial Inference
Randy C. S. Lai
Jan Hannig
Thomas C. M. Lee
FedML
123
3
0
18 May 2018
Automated Scalable Bayesian Inference via Hilbert Coresets
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell
Tamara Broderick
342
135
0
13 Oct 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable
  Bayesian GLM inference
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan H. Huggins
Ryan P. Adams
Tamara Broderick
393
35
0
26 Sep 2017
Coresets for Scalable Bayesian Logistic Regression
Coresets for Scalable Bayesian Logistic Regression
Jonathan H. Huggins
Trevor Campbell
Tamara Broderick
401
229
0
20 May 2016
Adaptive Component-wise Multiple-Try Metropolis Sampling
Adaptive Component-wise Multiple-Try Metropolis Sampling
Jinyoung Yang
Evgeny Levi
Radu V. Craiu
Jeffrey S. Rosenthal
250
8
0
11 Mar 2016
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