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Gibbs posterior convergence and the thermodynamic formalism

Gibbs posterior convergence and the thermodynamic formalism

24 January 2019
K. Mcgoff
S. Mukherjee
A. Nobel
ArXiv (abs)PDFHTML

Papers citing "Gibbs posterior convergence and the thermodynamic formalism"

28 / 28 papers shown
Title
High-dimensional MCMC with a standard splitting scheme for the
  underdamped Langevin diffusion
High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion
Pierre Monmarché
67
46
0
10 Jul 2020
Wasserstein distance error bounds for the multivariate normal
  approximation of the maximum likelihood estimator
Wasserstein distance error bounds for the multivariate normal approximation of the maximum likelihood estimator
Andreas Anastasiou
Robert E. Gaunt
47
9
0
11 May 2020
On the limitations of single-step drift and minorization in Markov chain
  convergence analysis
On the limitations of single-step drift and minorization in Markov chain convergence analysis
Qian Qin
J. Hobert
51
32
0
21 Mar 2020
Recursive max-linear models with propagating noise
Recursive max-linear models with propagating noise
Johannes Buck
Claudia Klüppelberg
58
18
0
29 Feb 2020
Consistency of the PLFit estimator for power-law data
Consistency of the PLFit estimator for power-law data
Ayan Bhattacharya
Bohan Chen
R. Hofstad
B. Zwart
17
8
0
17 Feb 2020
Adaptive particle-based approximations of the Gibbs posterior for
  inverse problems
Adaptive particle-based approximations of the Gibbs posterior for inverse problems
Z. Zou
S. Mukherjee
Harbir Antil
W. Aquino
41
6
0
02 Jul 2019
Bernoulli Race Particle Filters
Bernoulli Race Particle Filters
Sebastian M. Schmon
Arnaud Doucet
George Deligiannidis
29
6
0
03 Mar 2019
On a minimum distance procedure for threshold selection in tail analysis
On a minimum distance procedure for threshold selection in tail analysis
H. Drees
Anja Janssen
Sidney I. Resnick
Tiandong Wang
39
31
0
15 Nov 2018
The total variation distance between high-dimensional Gaussians with the
  same mean
The total variation distance between high-dimensional Gaussians with the same mean
Luc Devroye
Abbas Mehrabian
Tommy Reddad
78
230
0
19 Oct 2018
The CLT in high dimensions: quantitative bounds via martingale embedding
The CLT in high dimensions: quantitative bounds via martingale embedding
Ronen Eldan
Dan Mikulincer
Alex Zhai
64
38
0
24 Jun 2018
Convergence complexity analysis of Albert and Chib's algorithm for
  Bayesian probit regression
Convergence complexity analysis of Albert and Chib's algorithm for Bayesian probit regression
Qian Qin
J. Hobert
45
32
0
24 Dec 2017
The Geometry of Gaussoids
The Geometry of Gaussoids
T. Boege
Alessio DÁlì
Thomas Kahle
Bernd Sturmfels
35
22
0
19 Oct 2017
Spectral Radii of Truncated Circular Unitary Matrices
Spectral Radii of Truncated Circular Unitary Matrices
Wenhao Gui
Y. Qi
15
12
0
16 Sep 2017
Jackknife multiplier bootstrap: finite sample approximations to the
  $U$-process supremum with applications
Jackknife multiplier bootstrap: finite sample approximations to the UUU-process supremum with applications
Xiaohui Chen
Kengo Kato
70
40
0
09 Aug 2017
Posterior consistency for partially observed Markov models
Posterior consistency for partially observed Markov models
Randal Douc
Jimmy Olsson
Francois Roueff
36
13
0
24 Aug 2016
Concentration and regularization of random graphs
Concentration and regularization of random graphs
Can M. Le
Elizaveta Levina
Roman Vershynin
131
154
0
01 Jun 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and
  a Proposal for Repairing It
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
Peter Grünwald
T. V. Ommen
106
268
0
11 Dec 2014
Testing for high-dimensional geometry in random graphs
Testing for high-dimensional geometry in random graphs
Sébastien Bubeck
Jian Ding
Ronen Eldan
Miklós Z. Rácz
55
129
0
20 Nov 2014
On the influence of the seed graph in the preferential attachment model
On the influence of the seed graph in the preferential attachment model
Sébastien Bubeck
Elchanan Mossel
Miklós Z. Rácz
56
54
0
20 Jan 2014
On nonnegative unbiased estimators
On nonnegative unbiased estimators
Pierre E. Jacob
Alexandre Hoang Thiery
149
67
0
25 Sep 2013
A General Framework for Updating Belief Distributions
A General Framework for Updating Belief Distributions
Pier Giovanni Bissiri
Chris Holmes
S. Walker
240
479
0
27 Jun 2013
Statistical inference for dynamical systems: a review
Statistical inference for dynamical systems: a review
K. Mcgoff
S. Mukherjee
Natesh S. Pillai
AI4CE
111
47
0
27 Apr 2012
On the error bound in a combinatorial central limit theorem
On the error bound in a combinatorial central limit theorem
Louis H. Y. Chen
Xiao Fang
73
35
0
14 Nov 2011
Exact sampling for intractable probability distributions via a Bernoulli
  factory
Exact sampling for intractable probability distributions via a Bernoulli factory
James M. Flegal
Radu Herbei
117
23
0
16 Dec 2010
Dynamics of Bayesian Updating with Dependent Data and Misspecified
  Models
Dynamics of Bayesian Updating with Dependent Data and Misspecified Models
C. Shalizi
121
151
0
11 Jan 2009
Gibbs posterior for variable selection in high-dimensional
  classification and data mining
Gibbs posterior for variable selection in high-dimensional classification and data mining
Wenxin Jiang
M. Tanner
107
116
0
31 Oct 2008
On local $U$-statistic processes and the estimation of densities of
  functions of several sample variables
On local UUU-statistic processes and the estimation of densities of functions of several sample variables
Evarist Giné
D. Mason
412
86
0
16 Aug 2007
Regularly varying multivariate time series
Regularly varying multivariate time series
Bojan Basrak
Johan Segers
139
221
0
26 Jul 2007
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