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Dynamics of Bayesian Updating with Dependent Data and Misspecified
  Models
v1v2v3v4v5 (latest)

Dynamics of Bayesian Updating with Dependent Data and Misspecified Models

11 January 2009
C. Shalizi
ArXiv (abs)PDFHTML

Papers citing "Dynamics of Bayesian Updating with Dependent Data and Misspecified Models"

34 / 34 papers shown
Title
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
Francesca R. Crucinio
Sahani Pathiraja
60
0
0
06 Jun 2025
The Evolution theory of Learning: From Natural Selection to
  Reinforcement Learning
The Evolution theory of Learning: From Natural Selection to Reinforcement Learning
Taboubi Ahmed
35
0
0
16 Jun 2023
Deep Bootstrap for Bayesian Inference
Deep Bootstrap for Bayesian Inference
Lizhen Nie
Veronika Rockova
UQCVBDL
182
3
0
30 May 2022
Characterizing the robustness of Bayesian adaptive experimental designs
  to active learning bias
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
Sabina J. Sloman
Daniel M. Oppenheimer
S. Broomell
C. Shalizi
83
8
0
27 May 2022
Evaluating Posterior Distributions by Selectively Breeding Prior Samples
Evaluating Posterior Distributions by Selectively Breeding Prior Samples
C. Shalizi
32
0
0
17 Mar 2022
Large Deviation Asymptotics and Bayesian Posterior Consistency on
  Stochastic Processes and Dynamical Systems
Large Deviation Asymptotics and Bayesian Posterior Consistency on Stochastic Processes and Dynamical Systems
Langxuan Su
Sayan Mukherjee
47
0
0
13 Jun 2021
Posterior consistency for the spectral density of non-Gaussian
  stationary time series
Posterior consistency for the spectral density of non-Gaussian stationary time series
Yifu Tang
Claudia Kirch
J. Lee
R. Meyer
114
2
0
01 Mar 2021
Gibbs posterior concentration rates under sub-exponential type losses
Gibbs posterior concentration rates under sub-exponential type losses
Nicholas Syring
Ryan Martin
124
29
0
08 Dec 2020
A Bayesian Multiple Testing Paradigm for Model Selection in Inverse
  Regression Problems
A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems
D. Chatterjee
S. Bhattacharya
25
1
0
15 Jul 2020
Convergence of Pseudo-Bayes Factors in Forward and Inverse Regression
  Problems
Convergence of Pseudo-Bayes Factors in Forward and Inverse Regression Problems
D. Chatterjee
S. Bhattacharya
29
1
0
10 Jun 2020
Posterior Consistency of Bayesian Inverse Regression and Inverse
  Reference Distributions
Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions
D. Chatterjee
S. Bhattacharya
21
2
0
01 May 2020
Posterior Convergence of Nonparametric Binary and Poisson Regression
  Under Possible Misspecifications
Posterior Convergence of Nonparametric Binary and Poisson Regression Under Possible Misspecifications
D. Chatterjee
S. Bhattacharya
25
2
0
01 May 2020
High-dimensional Asymptotic Theory of Bayesian Multiple Testing
  Procedures Under General Dependent Setup and Possible Misspecification
High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
N. K. Chandra
S. Bhattacharya
30
2
0
30 Apr 2020
Gibbs posterior convergence and the thermodynamic formalism
Gibbs posterior convergence and the thermodynamic formalism
K. Mcgoff
S. Mukherjee
A. Nobel
81
10
0
24 Jan 2019
Posterior Convergence of Gaussian and General Stochastic Process
  Regression Under Possible Misspecifications
Posterior Convergence of Gaussian and General Stochastic Process Regression Under Possible Misspecifications
D. Chatterjee
S. Bhattacharya
51
3
0
24 Oct 2018
General Robust Bayes Pseudo-Posterior: Exponential Convergence results
  with Applications
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications
A. Ghosh
Tuhin Majumder
A. Basu
79
8
0
31 Aug 2017
Experimental Design for Non-Parametric Correction of Misspecified
  Dynamical Models
Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models
Gal Shulkind
L. Horesh
H. Avron
67
16
0
02 May 2017
A Short Note on Almost Sure Convergence of Bayes Factors in the General
  Set-Up
A Short Note on Almost Sure Convergence of Bayes Factors in the General Set-Up
D. Chatterjee
Trisha Maitra
S. Bhattacharya
72
16
0
15 Mar 2017
Asymptotic Theory of Dependent Bayesian Multiple Testing Procedures
  Under Possible Model Misspecification
Asymptotic Theory of Dependent Bayesian Multiple Testing Procedures Under Possible Model Misspecification
N. K. Chandra
S. Bhattacharya
84
5
0
04 Nov 2016
Inference Compilation and Universal Probabilistic Programming
Inference Compilation and Universal Probabilistic Programming
T. Le
A. G. Baydin
Frank Wood
UQCV
232
143
0
31 Oct 2016
Bayes factor consistency
Bayes factor consistency
S. Chib
Todd A. Kuffner
42
24
0
01 Jul 2016
On Classical and Bayesian Asymptotics in State Space Stochastic
  Differential Equations
On Classical and Bayesian Asymptotics in State Space Stochastic Differential Equations
Trisha Maitra
S. Bhattacharya
68
2
0
22 Jul 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
147
268
0
11 Dec 2014
Posterior consistency in misspecified models for i.n.i.d response
Posterior consistency in misspecified models for i.n.i.d response
Karthik Sriram
R. Ramamoorthi
104
1
0
26 Aug 2014
On Posterior Concentration in Misspecified Models
On Posterior Concentration in Misspecified Models
R. Ramamoorthi
Karthik Sriram
Ryan Martin
154
40
0
17 Dec 2013
On the Brittleness of Bayesian Inference
On the Brittleness of Bayesian Inference
H. Owhadi
C. Scovel
T. Sullivan
197
68
0
28 Aug 2013
Consistency of maximum likelihood estimation for some dynamical systems
Consistency of maximum likelihood estimation for some dynamical systems
K. Mcgoff
S. Mukherjee
A. Nobel
Natesh Pillai
108
19
0
24 Jun 2013
Generalized Thompson Sampling for Sequential Decision-Making and Causal
  Inference
Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Pedro A. Ortega
Daniel A. Braun
CML
129
52
0
18 Mar 2013
Nonparametric risk bounds for time-series forecasting
Nonparametric risk bounds for time-series forecasting
D. McDonald
C. Shalizi
M. Schervish
AI4TS
156
28
0
03 Dec 2012
On convergence rates of Bayesian predictive densities and posterior
  distributions
On convergence rates of Bayesian predictive densities and posterior distributions
Ryan Martin
Liang Hong
86
5
0
29 Sep 2012
Thermodynamics as a theory of decision-making with information
  processing costs
Thermodynamics as a theory of decision-making with information processing costs
Pedro A. Ortega
Daniel A. Braun
137
263
0
29 Apr 2012
Statistical inference for dynamical systems: a review
Statistical inference for dynamical systems: a review
K. Mcgoff
S. Mukherjee
Natesh S. Pillai
AI4CE
126
47
0
27 Apr 2012
Philosophy and the practice of Bayesian statistics
Philosophy and the practice of Bayesian statistics
Andrew Gelman
C. Shalizi
183
644
0
19 Jun 2010
Sequential anomaly detection in the presence of noise and limited
  feedback
Sequential anomaly detection in the presence of noise and limited feedback
Maxim Raginsky
Rebecca Willett
Corinne Horn
Jorge G. Silva
Roummel F. Marcia
178
63
0
15 Nov 2009
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