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Bayesian Inference in the Presence of Intractable Normalizing Functions

Bayesian Inference in the Presence of Intractable Normalizing Functions

23 January 2017
Jaewoo Park
M. Haran
    TPM
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Papers citing "Bayesian Inference in the Presence of Intractable Normalizing Functions"

7 / 7 papers shown
Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
58
13
0
03 Jan 2025
Optimality in Noisy Importance Sampling
Optimality in Noisy Importance Sampling
F. Llorente
Luca Martino
Jesse Read
D. Delgado
26
5
0
07 Jan 2022
A principled stopping rule for importance sampling
A principled stopping rule for importance sampling
Medha Agarwal
Dootika Vats
Victor Elvira
20
2
0
30 Aug 2021
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and
  Doubly-Intractable Bayesian Inference
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
Luiza S. C. Piancastelli
Nial Friel
W. Barreto‐Souza
H. Ombao
23
9
0
15 Jul 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
19
74
0
15 Apr 2021
A numerically stable algorithm for integrating Bayesian models using
  Markov melding
A numerically stable algorithm for integrating Bayesian models using Markov melding
A. A. Manderson
Robert J. B. Goudie
8
3
0
22 Jan 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
176
3,260
0
09 Jun 2012
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