Simple, Scalable and Accurate Posterior Interval Estimation

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Simple, Scalable and Accurate Posterior Interval Estimation

13 May 2016

Sanvesh Srivastava

David B. Dunson

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Papers citing "Simple, Scalable and Accurate Posterior Interval Estimation"

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Title
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models Xinyu Zhang Cheng Li 69 0 0 18 Dec 2022
Divide-and-Conquer Bayesian Inference in Hidden Markov Models Chunlei Wang Sanvesh Srivastava 68 9 0 30 May 2021
Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model Cheng Li 39 10 0 05 Oct 2020
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning J. Liu John Paisley M. Kioumourtzoglou B. Coull UQCV UD PER 99 85 0 11 Nov 2019
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo Adam D. Cobb A. G. Baydin Andrew Markham Stephen J. Roberts 62 32 0 14 Oct 2019
Efficient posterior sampling for high-dimensional imbalanced logistic regression Deborshee Sen Matthias Sachs Jianfeng Lu David B. Dunson 113 13 0 27 May 2019
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 82 28 0 25 Sep 2018
Bayesian Bootstraps for Massive Data Andrés F. Barrientos Víctor Pena 43 7 0 28 May 2017
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation Stanislav Minsker Nate Strawn 86 67 0 09 Apr 2017
Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo Paul Fearnhead J. Bierkens M. Pollock Gareth O. Roberts 76 108 0 23 Nov 2016
Quasi-stationary Monte Carlo and the ScaLE Algorithm M. Pollock Paul Fearnhead A. M. Johansen Gareth O. Roberts 98 18 0 12 Sep 2016
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 96 233 0 11 Jul 2016