Likelihood-Free Parameter Estimation with Neural Bayes Estimators

27 August 2022

Papers citing "Likelihood-Free Parameter Estimation with Neural Bayes Estimators"

14 / 14 papers shown

Title
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks Sweta Rai D. Nychka S. Bandyopadhyay 30 0 0 05 May 2025
Fast Likelihood-Free Parameter Estimation for Lévy Processes Nicolas Coloma William Kleiber 14 0 0 03 May 2025
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods Julia Walchessen Amanda Lenzi Mikael Kuusela 30 9 0 31 Dec 2024
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 36 1 0 31 Dec 2024
A Generalized Unified Skew-Normal Process with Neural Bayes Inference Kesen Wang M. Genton SyDa 66 0 0 26 Nov 2024
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 41 0 0 10 Oct 2024
Generative Bayesian Computation for Maximum Expected Utility Nick Polson Fabrizio Ruggeri Vadim O. Sokolov 16 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 29 0 0 20 Jun 2024
Deep Optimal Experimental Design for Parameter Estimation Problems Md Shahriar Rahim Siddiqui Arman Rahmim Eldad Haber 23 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 23 14 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 19 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 25 8 0 07 May 2023
Towards black-box parameter estimation Amanda Lenzi Haavard Rue 27 4 0 27 Mar 2023
Neural parameter calibration for large-scale multi-agent models Thomas Gaskin G. Pavliotis Mark Girolami AI4TS 11 22 0 27 Sep 2022