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Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model
Bayesian Analysis (BA), 2015
27 March 2015
M. Moores
Geoff K. Nicholls
A. Pettitt
Kerrie Mengersen
TPM
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Papers citing
"Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model"
10 / 10 papers shown
Generalised Bayesian Inference for Discrete Intractable Likelihood
Journal of the American Statistical Association (JASA), 2022
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
403
25
0
16 Jun 2022
Ordered conditional approximation of Potts models
Anirban Chakraborty
Matthias Katzfuss
J. Guinness
TPM
215
2
0
13 Oct 2021
Neural Networks for Parameter Estimation in Intractable Models
Computational Statistics & Data Analysis (CSDA), 2021
Amanda Lenzi
J. Bessac
J. Rudi
Michael L. Stein
BDL
583
69
0
29 Jul 2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants
Bayesian Analysis (BA), 2021
Quan Vu
M. Moores
A. Zammit‐Mangion
302
1
0
10 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
421
102
0
15 Apr 2021
Inference tools for Markov Random Fields on lattices: The R package mrf2d
Victor Freguglia
N. Garcia
244
7
0
30 May 2020
Bayesian Computation with Intractable Likelihoods
M. Moores
A. Pettitt
Kerrie Mengersen
TPM
293
3
0
08 Apr 2020
Gibbs posterior convergence and the thermodynamic formalism
K. Mcgoff
S. Mukherjee
A. Nobel
285
10
0
24 Jan 2019
Group-Representative Functional Network Estimation from Multi-Subject fMRI Data via MRF-based Image Segmentation
A. Iyer
Bingjing Tang
Vinayak A. Rao
N. Kong
49
2
0
29 Aug 2018
Informed proposals for local MCMC in discrete spaces
T. Rigon
195
136
0
20 Nov 2017
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