ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1301.3166
  4. Cited By
Diagnostic tools of approximate Bayesian computation using the coverage
  property

Diagnostic tools of approximate Bayesian computation using the coverage property

14 January 2013
D. Prangle
M. Blum
Gordana C. Popovic
Scott A. Sisson
ArXiv (abs)PDFHTML

Papers citing "Diagnostic tools of approximate Bayesian computation using the coverage property"

26 / 26 papers shown
SoftCVI: Contrastive variational inference with self-generated soft labels
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
745
1
0
22 Jul 2024
Model-Free Local Recalibration of Neural Networks
Model-Free Local Recalibration of Neural Networks
R. Torres
David J. Nott
Scott A. Sisson
T. Rodrigues
J. G. Reis
G. S. Rodrigues
285
2
0
09 Mar 2024
Discriminative calibration: Check Bayesian computation from simulations
  and flexible classifier
Discriminative calibration: Check Bayesian computation from simulations and flexible classifierNeural Information Processing Systems (NeurIPS), 2023
Yuling Yao
Justin Domke
UQLM
577
2
0
24 May 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General
  Inference
Sampling-Based Accuracy Testing of Posterior Estimators for General InferenceInternational Conference on Machine Learning (ICML), 2023
Pablo Lemos
A. Coogan
Y. Hezaveh
Laurence Perreault Levasseur
364
62
0
06 Feb 2023
Bayesian score calibration for approximate models
Bayesian score calibration for approximate models
Joshua J. Bon
D. Warne
David J. Nott
Christopher C. Drovandi
614
6
0
10 Nov 2022
Robust Neural Posterior Estimation and Statistical Model Criticism
Robust Neural Posterior Estimation and Statistical Model CriticismNeural Information Processing Systems (NeurIPS), 2022
Daniel Ward
Patrick W Cannon
Mark Beaumont
Matteo Fasiolo
Sebastian M. Schmon
294
60
0
12 Oct 2022
Truncated proposals for scalable and hassle-free simulation-based
  inference
Truncated proposals for scalable and hassle-free simulation-based inferenceNeural Information Processing Systems (NeurIPS), 2022
Michael Deistler
P. J. Gonçalves
Jakob H Macke
441
62
0
10 Oct 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for
  Approximate Bayesian Inference
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Luca Rendsburg
Agustinus Kristiadi
Philipp Hennig
U. V. Luxburg
192
4
0
07 Mar 2022
A Trust Crisis In Simulation-Based Inference? Your Posterior
  Approximations Can Be Unfaithful
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful
Joeri Hermans
Arnaud Delaunoy
Sacha Lewin
Antoine Wehenkel
Volodimir Begy
Gilles Louppe
411
57
0
13 Oct 2021
Benchmarking Simulation-Based Inference
Benchmarking Simulation-Based InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
507
247
0
12 Jan 2021
Towards constraining warm dark matter with stellar streams through
  neural simulation-based inference
Towards constraining warm dark matter with stellar streams through neural simulation-based inferenceMonthly notices of the Royal Astronomical Society (MNRAS), 2020
Joeri Hermans
N. Banik
Christoph Weniger
G. Bertone
Gilles Louppe
262
33
0
30 Nov 2020
Distortion estimates for approximate Bayesian inference
Distortion estimates for approximate Bayesian inference
Hanwen Xing
Geoff K. Nicholls
J. Lee
277
8
0
19 Jun 2020
Assessment and adjustment of approximate inference algorithms using the
  law of total variance
Assessment and adjustment of approximate inference algorithms using the law of total varianceJournal of Computational And Graphical Statistics (JCGS), 2019
Xue Yu
David J. Nott
Minh-Ngoc Tran
Nadja Klein
257
16
0
20 Nov 2019
Likelihood-free approximate Gibbs sampling
Likelihood-free approximate Gibbs samplingStatistics and computing (Stat. Comput.), 2019
G. S. Rodrigues
David J. Nott
Scott A. Sisson
289
30
0
11 Jun 2019
Validation of Approximate Likelihood and Emulator Models for
  Computationally Intensive Simulations
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive SimulationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Niccolò Dalmasso
Ann B. Lee
Rafael Izbicki
T. Pospisil
Ilmun Kim
Chieh-An Lin
256
9
0
27 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed
  diffusion processes. An illustration on Hamiltonian SDEs
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEsStatistics and computing (Stat. Comput.), 2019
E. Buckwar
M. Tamborrino
I. Tubikanec
342
41
0
04 Mar 2019
Calibration procedures for approximate Bayesian credible sets
Calibration procedures for approximate Bayesian credible sets
J. Lee
Geoff K. Nicholls
Robin J. Ryder
316
14
0
15 Oct 2018
A Guide to General-Purpose Approximate Bayesian Computation Software
A Guide to General-Purpose Approximate Bayesian Computation Software
A. Kousathanas
Pablo Duchen
Daniel Wegmann
197
2
0
21 Jun 2018
ABC-CDE: Towards Approximate Bayesian Computation with Complex
  High-Dimensional Data and Limited Simulations
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations
Rafael Izbicki
Ann B. Lee
T. Pospisil
276
36
0
14 May 2018
ABC Samplers
ABC Samplers
Y. Fan
Scott A. Sisson
206
29
0
26 Feb 2018
Recalibration: A post-processing method for approximate Bayesian
  computation
Recalibration: A post-processing method for approximate Bayesian computation
G. S. Rodrigues
D. Prangle
Scott A. Sisson
208
20
0
21 Apr 2017
Approximate Bayesian Computation by Modelling Summary Statistics in a
  Quasi-likelihood Framework
Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework
S. Cabras
María Eugenia Castellanos Nueda
E. Ruli
214
10
0
13 May 2015
Extending approximate Bayesian computation methods to high dimensions
  via a Gaussian copula model
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model
Jingjing Li
David J. Nott
Yanan Fan
Scott A. Sisson
443
40
0
16 Apr 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden
  Potts Model
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts ModelBayesian Analysis (BA), 2015
M. Moores
Geoff K. Nicholls
A. Pettitt
Kerrie Mengersen
TPM
409
25
0
27 Mar 2015
Modelling extremes using approximate Bayesian Computation
Modelling extremes using approximate Bayesian Computation
Robert J. Erhardt
Scott A. Sisson
226
17
0
05 Nov 2014
Simultaneous adjustment of bias and coverage probabilities for
  confidence intervals
Simultaneous adjustment of bias and coverage probabilities for confidence intervalsComputational Statistics & Data Analysis (CSDA), 2012
Patricia Menéndez
Yanan Fan
P. Garthwaite
Scott A. Sisson
270
14
0
12 Oct 2012
1
Page 1 of 1