Local dimension reduction of summary statistics for likelihood-free inference

25 January 2019

Papers citing "Local dimension reduction of summary statistics for likelihood-free inference"

7 / 7 papers shown

Title
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 191 9 0 17 Feb 2025
ELFI: Engine for Likelihood-Free Inference Jarno Lintusaari H. Vuollekoski A. Kangasrääsiö Kusti Skytén Marko Jarvenpaa Pekka Marttinen Michael U. Gutmann Aki Vehtari J. Corander Samuel Kaski 43 73 0 02 Aug 2017
The Rate of Convergence for Approximate Bayesian Computation Stuart Barber J. Voss M. Webster 61 80 0 08 Nov 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 333 7,923 0 13 Jun 2012
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation M. Blum M. Nunes D. Prangle Scott A. Sisson 170 364 0 16 Feb 2012
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems Tina Toni David Welch N. Strelkowa Andreas Ipsen M. Stumpf 223 1,544 0 14 Jan 2009
Non-linear regression models for Approximate Bayesian Computation M. Blum O. François 205 484 0 24 Sep 2008