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Likelihood-Free Parameter Estimation with Neural Bayes Estimators

Likelihood-Free Parameter Estimation with Neural Bayes Estimators

27 August 2022
Matthew Sainsbury-Dale
A. Zammit‐Mangion
Raphael Huser
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Papers citing "Likelihood-Free Parameter Estimation with Neural Bayes Estimators"

15 / 15 papers shown
Title
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Antony Sikorski
Michael I. Ivanitskiy
Nathan Lenssen
Douglas Nychka
Daniel McKenzie
DiffM
24
0
0
14 May 2025
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
Sweta Rai
D. Nychka
S. Bandyopadhyay
40
1
0
05 May 2025
Fast Likelihood-Free Parameter Estimation for Lévy Processes
Fast Likelihood-Free Parameter Estimation for Lévy Processes
Nicolas Coloma
William Kleiber
17
0
0
03 May 2025
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer
Emily C. Hector
Amanda Lenzi
41
1
0
31 Dec 2024
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
Julia Walchessen
Amanda Lenzi
Mikael Kuusela
35
9
0
31 Dec 2024
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
A Generalized Unified Skew-Normal Process with Neural Bayes Inference
Kesen Wang
M. Genton
SyDa
71
0
0
26 Nov 2024
Deep Generative Quantile Bayes
Deep Generative Quantile Bayes
Jungeum Kim
Percy S. Zhai
Veronika Rockova
46
0
0
10 Oct 2024
Generative Bayesian Computation for Maximum Expected Utility
Generative Bayesian Computation for Maximum Expected Utility
Nick Polson
Fabrizio Ruggeri
Vadim Sokolov
29
1
0
28 Aug 2024
Latent Variable Sequence Identification for Cognitive Models with Neural
  Bayes Estimation
Latent Variable Sequence Identification for Cognitive Models with Neural Bayes Estimation
Ti-Fen Pan
Jing-Jing Li
Bill Thompson
Anne Collins
BDL
31
0
0
20 Jun 2024
Deep Optimal Experimental Design for Parameter Estimation Problems
Deep Optimal Experimental Design for Parameter Estimation Problems
Md Shahriar Rahim Siddiqui
Arman Rahmim
Eldad Haber
45
1
0
20 Jun 2024
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
Matthew Sainsbury-Dale
A. Zammit‐Mangion
J. Richards
Raphael Huser
28
15
0
04 Oct 2023
Neural Bayes estimators for censored inference with peaks-over-threshold
  models
Neural Bayes estimators for censored inference with peaks-over-threshold models
J. Richards
Matthew Sainsbury-Dale
A. Zammit‐Mangion
Raphael Huser
30
8
0
27 Jun 2023
Fast parameter estimation of Generalized Extreme Value distribution
  using Neural Networks
Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks
Sweta Rai
Alexis L Hoffman
S. Lahiri
D. Nychka
S. Sain
S. Bandyopadhyay
33
9
0
07 May 2023
Towards black-box parameter estimation
Towards black-box parameter estimation
Amanda Lenzi
Haavard Rue
32
4
0
27 Mar 2023
Neural parameter calibration for large-scale multi-agent models
Neural parameter calibration for large-scale multi-agent models
Thomas Gaskin
G. Pavliotis
Mark Girolami
AI4TS
23
23
0
27 Sep 2022
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