Computing Bayes: Bayesian Computation from 1763 to the 21st Century

14 April 2020

Papers citing "Computing Bayes: Bayesian Computation from 1763 to the 21st Century"

50 / 94 papers shown

Title
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 107 217 0 09 May 2023
An MCMC Approach to Classical Estimation Victor Chernozhukov H. Hong 183 819 0 18 Jan 2023
Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach David T. Frazier 11 13 0 25 Jun 2020
Robust Inference and Model Criticism Using Bagged Posteriors Jonathan H. Huggins Jeffrey W. Miller 85 15 0 15 Dec 2019
Assessment and adjustment of approximate inference algorithms using the law of total variance Xue Yu David J. Nott Minh-Ngoc Tran Nadja Klein 42 15 0 20 Nov 2019
Validated Variational Inference via Practical Posterior Error Bounds Jonathan H. Huggins Mikolaj Kasprzak Trevor Campbell Tamara Broderick 47 37 0 09 Oct 2019
Variational Bayes on Manifolds Minh-Ngoc Tran D. Nguyen Duy Nguyen 42 23 0 08 Aug 2019
Why Simple Quadrature is just as good as Monte Carlo Kevin Vanslette Abdullatif Al-Alshaikh K. Youcef-Toumi 27 3 0 02 Aug 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 44 136 0 16 Jul 2019
Integrated Nested Laplace Approximations (INLA) S. Martino A. Riebler 54 53 0 02 Jul 2019
Likelihood-free approximate Gibbs sampling G. S. Rodrigues David J. Nott Scott A. Sisson 42 24 0 11 Jun 2019
Component-wise approximate Bayesian computation via Gibbs-like steps Grégoire Clarté Christian P. Robert Robin J. Ryder Julien Stoehr 31 30 0 31 May 2019
Variational Bayes under Model Misspecification Yixin Wang David M. Blei 20 44 0 26 May 2019
Approximate Bayesian computation via the energy statistic Hien Nguyen Julyan Arbel Hongliang Lü F. Forbes 46 28 0 14 May 2019
Robust Approximate Bayesian Inference with Synthetic Likelihood David T. Frazier Christopher C. Drovandi 22 45 0 09 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 66 106 0 03 Apr 2019
Elements of Sequential Monte Carlo C. A. Naesseth Fredrik Lindsten Thomas B. Schon 51 97 0 12 Mar 2019
Bayesian inference using synthetic likelihood: asymptotics and adjustments David T. Frazier David J. Nott Christopher C. Drovandi Robert Kohn 37 40 0 13 Feb 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 83 221 0 16 Jan 2019
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology Mathieu Fourment Andrew F. Magee Chris Whidden Arman Bilge Frederick Albert Matsen IV V. Minin 36 47 0 28 Nov 2018
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation M. Rischard Pierre E. Jacob Natesh Pillai 48 22 0 02 Oct 2018
Bayesian dynamic variable selection in high dimensions Gary Koop Dimitris Korobilis 28 38 0 09 Sep 2018
Weight-Preserving Simulated Tempering Nicholas G. Tawn Gareth O. Roberts Jeffrey S. Rosenthal 38 28 0 14 Aug 2018
Unbiased Markov chain Monte Carlo for intractable target distributions Lawrence Middleton George Deligiannidis Arnaud Doucet Pierre E. Jacob 13 33 0 23 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 83 1,770 0 08 Jul 2018
A multiple-try Metropolis-Hastings algorithm with tailored proposals Xin Luo H. Tjelmeland 22 8 0 05 Jul 2018
Accelerating delayed-acceptance Markov chain Monte Carlo algorithms Samuel Wiqvist Umberto Picchini J. Forman Kresten Lindorff-Larsen Wouter Boomsma 11 8 0 15 Jun 2018
Accurate Computation of Marginal Data Densities Using Variational Bayes G. Hajargasht T. Wo'zniak 40 8 0 25 May 2018
Scalable Importance Tempering and Bayesian Variable Selection Giacomo Zanella Gareth O. Roberts 35 42 0 01 May 2018
Accelerating MCMC Algorithms Christian P. Robert Victor Elvira Nicholas G. Tawn Changye Wu 58 141 0 08 Apr 2018
High-dimensional ABC David J. Nott V. M. Ong Y. Fan Scott A. Sisson 18 17 0 27 Feb 2018
A Review of Multiple Try MCMC algorithms for Signal Processing Luca Martino 41 81 0 27 Jan 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 66 40 0 24 Jan 2018
Convergence Rates of Variational Posterior Distributions Fengshuo Zhang Chao Gao 39 104 0 07 Dec 2017
Objective Bayesian inference with proper scoring rules F. Giummolè V. Mameli E. Ruli L. Ventura 33 33 0 29 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 130 684 0 15 Nov 2017
Improving approximate Bayesian computation via quasi-Monte Carlo Alexander K. Buchholz Nicolas Chopin 35 26 0 03 Oct 2017
General Bayesian Updating and the Loss-Likelihood Bootstrap Simon Lyddon Chris Holmes S. Walker 81 119 0 22 Sep 2017
Asymptotics of ABC Paul Fearnhead 61 5 0 23 Jun 2017
Control Variates for Stochastic Gradient MCMC Jack Baker Paul Fearnhead E. Fox Christopher Nemeth BDL 49 101 0 16 Jun 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 66 204 0 09 May 2017
A Tutorial on Bridge Sampling Q. Gronau A. Sarafoglou D. Matzke A. Ly U. Boehm M. Marsman David S. Leslie J. Forster E. Wagenmakers H. Steingroever 25 230 0 17 Mar 2017
Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains J. Bierkens Alexandre Bouchard-Côté Arnaud Doucet Andrew B. Duncan Paul Fearnhead Thibaut Lienart Gareth O. Roberts Sebastian J. Vollmer 54 55 0 16 Jan 2017
Sequential Monte Carlo with transformations R. Everitt Richard Culliford F. Medina-Aguayo Daniel J. Wilson 54 14 0 20 Dec 2016
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo Paul Fearnhead J. Bierkens M. Pollock Gareth O. Roberts 31 106 0 23 Nov 2016
Convergence of Regression Adjusted Approximate Bayesian Computation Wentao Li Paul Fearnhead 134 36 0 22 Sep 2016
Discussion of "Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing" Dustin Tran David M. Blei 36 20 0 19 Sep 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 59 18 0 12 Sep 2016
Bayesian nonparametric forecasting of monotonic functional time series A. Canale M. Ruggiero AI4TS 50 24 0 29 Aug 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 67 232 0 11 Jul 2016