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0901.1342
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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

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

36 / 36 papers shown

Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification

Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification

Paris Giampouras

Theodoros Damoulas

172

0

0

03 Oct 2025

The Price equation reveals a universal force-metric-bias law of algorithmic learning and natural selection

The Price equation reveals a universal force-metric-bias law of algorithmic learning and natural selection

Steven A. Frank

497

3

0

24 Jul 2025

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

321

4

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

198

1

0

16 Jun 2023

Deep Bootstrap for Bayesian Inference

Deep Bootstrap for Bayesian Inference

Veronika Rockova

352

8

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

273

11

0

27 May 2022

Evaluating Posterior Distributions by Selectively Breeding Prior Samples

Evaluating Posterior Distributions by Selectively Breeding Prior Samples

242

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

Sayan Mukherjee

249

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 seriesScandinavian Journal of Statistics (Scand. J. Stat.), 2021

402

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

678

36

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

S. Bhattacharya

153

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

S. Bhattacharya

190

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

S. Bhattacharya

229

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

S. Bhattacharya

141

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

S. Bhattacharya

199

2

0

30 Apr 2020

Gibbs posterior convergence and the thermodynamic formalism

Gibbs posterior convergence and the thermodynamic formalism

321

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

S. Bhattacharya

449

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

367

10

0

31 Aug 2017

Experimental Design for Non-Parametric Correction of Misspecified
Dynamical Models

Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models

356

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

S. Bhattacharya

603

17

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

S. Bhattacharya

381

5

0

04 Nov 2016

Inference Compilation and Universal Probabilistic Programming

Inference Compilation and Universal Probabilistic Programming

559

147

0

31 Oct 2016

Bayes factor consistency

Bayes factor consistency

Todd A. Kuffner

326

28

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 EquationsBrazilian Journal of Probability and Statistics (JBPS), 2015

S. Bhattacharya

326

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

609

290

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

225

1

0

26 Aug 2014

On Posterior Concentration in Misspecified Models

On Posterior Concentration in Misspecified Models

381

40

0

17 Dec 2013

On the Brittleness of Bayesian Inference

On the Brittleness of Bayesian InferenceSIAM Review (SIAM Rev.), 2013

637

72

0

28 Aug 2013

Consistency of maximum likelihood estimation for some dynamical systems

Consistency of maximum likelihood estimation for some dynamical systems

Natesh Pillai

323

19

0

24 Jun 2013

Generalized Thompson Sampling for Sequential Decision-Making and Causal
Inference

Generalized Thompson Sampling for Sequential Decision-Making and Causal InferenceComplex Adaptive Systems Modeling (CASM), 2013

Pedro A. Ortega

Daniel A. Braun

396

53

0

18 Mar 2013

Nonparametric risk bounds for time-series forecasting

Nonparametric risk bounds for time-series forecasting

528

29

0

03 Dec 2012

On convergence rates of Bayesian predictive densities and posterior
distributions

On convergence rates of Bayesian predictive densities and posterior distributions

307

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 costsProceedings of the Royal Society A (Proc. R. Soc. A), 2012

Pedro A. Ortega

Daniel A. Braun

372

296

0

29 Apr 2012

Statistical inference for dynamical systems: a review

Statistical inference for dynamical systems: a review

Natesh S. Pillai

350

50

0

27 Apr 2012

Philosophy and the practice of Bayesian statistics

Philosophy and the practice of Bayesian statistics

734

692

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

Rebecca Willett

Roummel F. Marcia

530

66

0

15 Nov 2009

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