Adapting the ABC distance function

3 July 2015

Papers citing "Adapting the ABC distance function"

32 / 32 papers shown

Title
Approximate Bayesian Computation with Statistical Distances for Model Selection Christian Angelopoulos Clara Grazian 26 0 0 28 Oct 2024
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage Wenchao Teng Louis J. Durlofsky 31 0 0 20 Oct 2024
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation Adeline Samson M. Tamborrino I. Tubikanec 37 2 0 28 May 2024
Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations P. Jovanovski Andrew Golightly Umberto Picchini 20 1 0 16 Oct 2023
pyABC: Efficient and robust easy-to-use approximate Bayesian computation Yannik Schälte Emmanuel Klinger Emad Alamoudi Jan Hasenauer 19 22 0 24 Mar 2022
On predictive inference for intractable models via approximate Bayesian computation Marko Jarvenpaa J. Corander TPM 35 2 0 23 Mar 2022
Metropolis-Hastings via Classification Tetsuya Kaji Veronika Rockova 23 8 0 06 Mar 2021
A Comparison of Likelihood-Free Methods With and Without Summary Statistics Christopher C. Drovandi David T. Frazier 34 33 0 03 Mar 2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference Fredrik Wrede Robin Eriksson Richard M. Jiang Linda R. Petzold Stefan Engblom Andreas Hellander Prashant Singh 20 6 0 12 Feb 2021
Towards constraining warm dark matter with stellar streams through neural simulation-based inference Joeri Hermans N. Banik Christoph Weniger G. Bertone Gilles Louppe 30 29 0 30 Nov 2020
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries Louis Raynal Sixing Chen Antonietta Mira J. Onnela 11 2 0 09 Nov 2020
Robust Approximate Bayesian Computation: An Adjustment Approach David T. Frazier Christopher C. Drovandi Rubén Loaiza-Maya 11 13 0 07 Aug 2020
Anytime Parallel Tempering Alix Marie d’Avigneau Sumeetpal S. Singh Lawrence M. Murray LRM 6 1 0 26 Jun 2020
Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models Fan Yin C. Butts 14 4 0 17 Apr 2020
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation Mattias Åkesson Prashant Singh Fredrik Wrede Andreas Hellander BDL 32 33 0 31 Jan 2020
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling Thomas P. Prescott R. Baker 14 12 0 17 Jan 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 25 37 0 12 Jan 2020
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 24 44 0 29 Oct 2019
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation Marko Jarvenpaa Aki Vehtari Pekka Marttinen 33 15 0 14 Oct 2019
Stratified sampling and bootstrapping for approximate Bayesian computation Umberto Picchini R. Everitt 19 1 0 20 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs E. Buckwar M. Tamborrino I. Tubikanec 21 36 0 04 Mar 2019
Local dimension reduction of summary statistics for likelihood-free inference Jukka Sirén Samuel Kaski 11 2 0 25 Jan 2019
Overview of Approximate Bayesian Computation Scott A. Sisson Y. Fan Mark Beaumont 24 45 0 27 Feb 2018
ABC Samplers Y. Fan Scott A. Sisson 25 28 0 26 Feb 2018
Bayesian inference in Y-linked two-sex branching processes with mutations: ABC approach Miguel González R. Martínez C. Gutiérrez 14 2 0 27 Jan 2018
Easy High-Dimensional Likelihood-Free Inference Vinay Jethava Devdatt Dubhashi BDL GAN 172 3 0 29 Nov 2017
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions T. Kacprzak J. Herbel A. Amara Alexandre Réfrégier 19 26 0 24 Jul 2017
An automatic adaptive method to combine summary statistics in approximate Bayesian computation Jonathan U. Harrison R. Baker 40 17 0 07 Mar 2017
Likelihood-free stochastic approximation EM for inference in complex models Umberto Picchini TPM 27 5 0 12 Sep 2016
ABC random forests for Bayesian parameter inference Louis Raynal Jean-Michel Marin Pierre Pudlo M. Ribatet Christian P. Robert A. Estoup 34 187 0 18 May 2016
On Consistency of Approximate Bayesian Computation David T. Frazier G. Martin Christian P. Robert 17 5 0 21 Aug 2015
Approximate maximum likelihood estimation using data-cloning ABC Umberto Picchini Rachele Anderson 28 13 0 23 May 2015