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A Function Emulation Approach for Doubly Intractable Distributions
v1v2v3v4 (latest)

A Function Emulation Approach for Doubly Intractable Distributions

20 June 2018
Jaewoo Park
M. Haran
    TPM
ArXiv (abs)PDFHTML

Papers citing "A Function Emulation Approach for Doubly Intractable Distributions"

4 / 4 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
165
14
0
03 Jan 2025
Adaptive truncation of infinite sums: applications to Statistics
Adaptive truncation of infinite sums: applications to Statistics
L. Carvalho
Guido A. Moreira
81
0
0
12 Feb 2022
Warped Gradient-Enhanced Gaussian Process Surrogate Models for
  Exponential Family Likelihoods with Intractable Normalizing Constants
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants
Quan Vu
M. Moores
A. Zammit‐Mangion
61
1
0
10 May 2021
Bayesian Model Selection for High-Dimensional Ising Models, With
  Applications to Educational Data
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data
Jaewoo Park
Ick Hoon Jin
M. Schweinberger
49
7
0
17 Nov 2019
1