Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation

29 June 2015

Papers citing "Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation"

47 / 47 papers shown

Title
Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression Filippo Ascolani Giacomo Zanella 119 0 0 20 May 2025
Optimal lower bounds for logistic log-likelihoods Niccolò Anceschi T. Rigon Giacomo Zanella Daniele Durante 56 1 0 14 Oct 2024
Grand Challenges in Bayesian Computation Anirban Bhattacharya Antonio Linero Chris. J. Oates 74 3 0 01 Oct 2024
Skew-symmetric approximations of posterior distributions Francesco Pozza Daniele Durante Botond Szabó 77 2 0 21 Sep 2024
Scalable expectation propagation for generalized linear models Niccolò Anceschi A. Fasano Beatrice Franzolini Giovanni Rebaudo 81 0 0 02 Jul 2024
Tuning diagonal scale matrices for HMC Jimmy Huy Tran T. S. Kleppe 70 4 0 12 Mar 2024
Expectation propagation for the smoothing distribution in dynamic probit Niccolò Anceschi A. Fasano Giovanni Rebaudo 47 0 0 04 Sep 2023
Efficient computation of predictive probabilities in probit models via expectation propagation A. Fasano Niccolò Anceschi Beatrice Franzolini Giovanni Rebaudo 65 1 0 04 Sep 2023
Efficient expectation propagation for posterior approximation in high-dimensional probit models A. Fasano Niccolò Anceschi Beatrice Franzolini Giovanni Rebaudo 63 4 0 04 Sep 2023
Stein $Π$ -Importance Sampling Congye Wang Ye Chen Heishiro Kanagawa Chris J. Oates 91 2 0 17 May 2023
Skewed Bernstein-von Mises theorem and skew-modal approximations Daniele Durante Francesco Pozza Botond Szabó 110 12 0 08 Jan 2023
Moment Propagation J. Ormerod Weichang Yu 81 0 0 21 Nov 2022
Higher-order stochastic integration through cubic stratification Nicolas Chopin Mathieu Gerber 39 4 0 04 Oct 2022
An extension of the Unified Skew-Normal family of distributions and application to Bayesian binary regression P. Onorati B. Liseo 67 3 0 07 Sep 2022
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results Niccolò Anceschi A. Fasano Daniele Durante Giacomo Zanella 67 18 0 16 Jun 2022
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 78 8 0 06 Dec 2021
Entropy-based adaptive Hamiltonian Monte Carlo Marcel Hirt Michalis K. Titsias P. Dellaportas BDL 101 7 0 27 Oct 2021
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation Linda S. L. Tan 108 12 0 01 Sep 2021
JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software Mario Beraha Daniel Falco A. Guglielmi 37 8 0 20 Jul 2021
Sticky PDMP samplers for sparse and local inference problems J. Bierkens Sebastiano Grazzi Frank van der Meulen Moritz Schauer 82 15 0 15 Mar 2021
A fresh take on 'Barker dynamics' for MCMC Max Hird Samuel Livingstone Giacomo Zanella 93 9 0 17 Dec 2020
Ultimate Pólya Gamma Samplers -- Efficient MCMC for possibly imbalanced binary and categorical data Gregor Zens Sylvia Fruhwirth-Schnatter Helga Wagner SyDa 108 13 0 13 Nov 2020
Waste-free Sequential Monte Carlo Hai-Dang Dau Nicolas Chopin 65 21 0 04 Nov 2020
Scalable computation of predictive probabilities in probit models with Gaussian process priors JIAN-PENG Cao Daniele Durante M. Genton 61 11 0 03 Sep 2020
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 132 68 0 23 Jul 2020
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One A. Fasano Daniele Durante 60 27 0 14 Jul 2020
Connecting the Dots: Numerical Randomized Hamiltonian Monte Carlo with State-Dependent Event Rates T. S. Kleppe 54 12 0 04 May 2020
Semi-Exact Control Functionals From Sard's Method Leah F. South Toni Karvonen Christopher Nemeth Mark Girolami Chris J. Oates 93 17 0 31 Jan 2020
Scalable and Accurate Variational Bayes for High-Dimensional Binary Regression Models A. Fasano Daniele Durante Giacomo Zanella 69 31 0 15 Nov 2019
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences J. Speagle 88 1,221 0 03 Apr 2019
Online Sampling from Log-Concave Distributions Holden Lee Oren Mangoubi Nisheeth K. Vishnoi 42 3 0 21 Feb 2019
Regularized Zero-Variance Control Variates Leah F. South Chris J. Oates Antonietta Mira Christopher C. Drovandi BDL 133 19 0 13 Nov 2018
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo Alexander K. Buchholz Nicolas Chopin Pierre E. Jacob 80 34 0 23 Aug 2018
Global consensus Monte Carlo Lewis J. Rendell A. M. Johansen Anthony Lee N. Whiteley 91 40 0 24 Jul 2018
On a Metropolis-Hastings importance sampling estimator Daniel Rudolf Björn Sprungk 77 21 0 18 May 2018
Unbiased and Consistent Nested Sampling via Sequential Monte Carlo R. Salomone Leah F. South A. M. Johansen Christopher C. Drovandi Dirk P. Kroese 122 34 0 10 May 2018
Conjugate Bayes for probit regression via unified skew-normal distributions Daniele Durante 84 58 0 26 Feb 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo Oren Mangoubi Nisheeth K. Vishnoi 155 53 0 24 Feb 2018
Controlled Sequential Monte Carlo J. Heng A. Bishop George Deligiannidis Arnaud Doucet 111 74 0 28 Aug 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 117 126 0 28 Jun 2017
Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods Akihiko Nishimura David B. Dunson Jianfeng Lu 42 2 0 23 May 2017
Bayesian Inference in the Presence of Intractable Normalizing Functions Jaewoo Park M. Haran TPM 155 73 0 23 Jan 2017
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 98 18 0 12 Sep 2016
Stochastic Bouncy Particle Sampler Ari Pakman D. Gilboa David Carlson Liam Paninski 96 32 0 03 Sep 2016
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model Alexander Terenin Shawfeng Dong D. Draper 73 40 0 15 Aug 2016
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 149 358 0 05 May 2016
Gibbs flow for approximate transport with applications to Bayesian computation J. Heng Arnaud Doucet Y. Pokern OT 78 47 0 29 Sep 2015