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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
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
Sweta Rai
D. Nychka
S. Bandyopadhyay
40
1
0
05 May 2025
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
Emily C. Hector
Amanda Lenzi
41
1
0
31 Dec 2024
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
Kesen Wang
M. Genton
SyDa
71
0
0
26 Nov 2024
Deep Generative Quantile Bayes
Jungeum Kim
Percy S. Zhai
Veronika Rockova
46
0
0
10 Oct 2024
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
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
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
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
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
Sweta Rai
Alexis L Hoffman
S. Lahiri
D. Nychka
S. Sain
S. Bandyopadhyay
33
9
0
07 May 2023
Towards black-box parameter estimation
Amanda Lenzi
Haavard Rue
32
4
0
27 Mar 2023
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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