Results 11 to 20 of about 5,031,588 (250)

Empirical Bayes Methods, Evidentialism, and the Inferential Roles They Play [PDF]

open access: yesEntropy
Empirical Bayes-based Methods (EBM) is an increasingly popular form of Objective Bayesianism (OB). It is identified in particular with the statistician Bradley Efron.
Samidha Shetty   +2 more
doaj   +2 more sources

On Nonparametric Predictive Inference and Objective Bayesianism [PDF]

open access: yesJournal of Logic, Language and Information, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Coolen, F.P.A., F. P. A. Coolen
openaire   +6 more sources

The Principal Principle Implies the Principle of Indifference [PDF]

open access: yes, 2015
We argue that David Lewis’s principal principle implies a version of the principle of indifference. The same is true for similar principles that need to appeal to the concept of admissibility. Such principles are thus in accord with objective Bayesianism,
Wallmann, Christian   +7 more
core   +1 more source

The Renegade Subjectivist: José Bernardo’s Reference Bayesianism [PDF]

open access: yes, 2012
This article motivates and discusses José Bernardo's attempt to reconcile the subjective Bayesian framework with a need for objective scientific inference, leading to a special kind of objective Bayesianism, namely reference Bayesianism.
Sprenger, Jan
core   +1 more source

The Principal Principle and subjective Bayesianism [PDF]

open access: yes, 2019
This paper poses a problem for Lewis’ Principal Principle in a subjective Bayesian framework: we show that, where chances inform degrees of belief, subjective Bayesianism fails to validate normal informal standards of what is reasonable.
Wallmann, Christian   +2 more
core   +1 more source

Reverse Bayesianism and act independence [PDF]

open access: yes, 2022
Karni and Vierø (2013) propose a model of belief revision under growing awareness-reverse Bayesianism-which posits that as a person becomes aware of new acts, consequences , or act-consequence links, she revises her beliefs over an expanded state space ...
Chakravarty, Surajeet   +5 more
core   +1 more source

Probabilistic Sophistication and Reverse Bayesianism [PDF]

open access: yes, 2018
This paper extends our earlier work on reverse Bayesianism by relaxing the assump- tion that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated.
VierÃÿ, Marie-Louise, Karni, Ed
core   +1 more source

Objective Bayesian Inference for Bilateral Data

open access: yesBayesian Analysis, 2015
Published at http://dx.doi.org/10.1214/14-BA890 in the Bayesian Analysis (http://projecteuclid.org/euclid.ba) by the International Society of Bayesian Analysis (http://bayesian.org/)
M’lan, Cyr Emile, Chen, Ming-Hui
openaire   +5 more sources

Bayesian optimization for refining object proposals

open access: yes2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
We develop a general-purpose algorithm using a Bayesian optimization framework for the efficient refinement of object proposals. While recent research has achieved substantial progress for object localization and related objectives in computer vision, current state-of-the-art object localization procedures are nevertheless encumbered by inefficiency ...
Rhodes, Anthony D.   +3 more
openaire   +3 more sources

Intuitionistc probability and the Bayesian objection to dogmatism [PDF]

open access: yesSynthese, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

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