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Gibbs posterior inference on multivariate quantiles
v1v2v3 (latest)

Gibbs posterior inference on multivariate quantiles

Journal of Statistical Planning and Inference (JSPI), 2020
3 February 2020
Indrabati Bhattacharya
Ryan Martin
ArXiv (abs)PDFHTML

Papers citing "Gibbs posterior inference on multivariate quantiles"

6 / 6 papers shown
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Steven Winter
Omar Melikechi
David B. Dunson
388
2
0
19 Oct 2023
Valid Inference for Machine Learning Model Parameters
Valid Inference for Machine Learning Model Parameters
N. Dey
Jonathan P. Williams
301
3
0
21 Feb 2023
On the Computational Complexity of Metropolis-Adjusted Langevin
  Algorithms for Bayesian Posterior Sampling
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior SamplingJournal of machine learning research (JMLR), 2022
Rong Tang
Yun Yang
176
5
0
13 Jun 2022
Bernstein - von Mises theorem and misspecified models: a review
Bernstein - von Mises theorem and misspecified models: a review
N. Bochkina
255
13
0
28 Apr 2022
A comparison of learning rate selection methods in generalized Bayesian
  inference
A comparison of learning rate selection methods in generalized Bayesian inference
Pei-Shien Wu
Ryan Martin
BDL
220
58
0
21 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses
Gibbs posterior concentration rates under sub-exponential type losses
Nicholas Syring
Ryan Martin
674
36
0
08 Dec 2020
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