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The Objectivity of Subjective Bayesianism [PDF]
European Journal for Philosophy of Science, 2017 Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. It is often criticized for a lack of objectivity: (i) it opens the door to the influence of values and biases, (ii) evidence judgments can vary substantially ...
Sprenger, Jan
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Bayesian models of object perception [PDF]
Current Opinion in Neurobiology, 2003 The human visual system is the most complex pattern recognition device known. In ways that are yet to be fully understood, the visual cortex arrives at a simple and unambiguous interpretation of data from the retinal image that is useful for the decisions and actions of everyday life.
Kersten, Daniel, Yuille, Alan L
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Bayesian Object Identification: Variants
Journal of Multivariate Analysis, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ritter, Gunter +1 more
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Object Perception as Bayesian Inference [PDF]
Annual Review of Psychology, 2004 We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many objects embedded in background clutter. Moreover, the image features of an object are extremely variable and ambiguous owing to the effects of ...
Kersten, Daniel +2 more
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Bayesian object matching [PDF]
Machine Learning, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Objective Bayesian nets from consistent datasets [PDF]
AIP Conference Proceedings, 2016 This paper addresses the problem of finding a Bayesian net representation of the probability function that agrees with the distributions of multiple consistent datasets and otherwise has maximum entropy. We give a general algorithm which is significantly more efficient than the standard brute-force approach. Furthermore, we show that in a wide range of
Landes, Juergen, Williamson, Jon
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, 2009 By representing the range of fair betting odds according to a pair of confidence set estimators, dual probability measures on parameter space called frequentist posteriors secure the coherence of subjective inference without any prior distribution.
Datta G. S. +16 more
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There Is No Pure Empirical Reasoning [PDF]
, 2017 The justificatory force of empirical reasoning always depends upon the existence of some synthetic, a priori justification. The reasoner must begin with justified, substantive constraints on both the prior probability of the conclusion and certain ...
Ayer +44 more
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The Principal Principle and subjective Bayesianism
European Journal for Philosophy of Science, 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.
Christian Wallmann, Jon Williamson
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Many Objective Bayesian Optimization
, 2021 Muchosescenarios reales requieren de la optimización de varios objetivos a la vez para la obtención de soluciones que representen el mejor equilibrio entre ellos y, según el escenario, estos objetivos pueden ser muy costosos de evaluar y el número de evaluaciones (posiblemente ruidosas) que podremos hacer será limitado.
Martín, Lucia Asencio +1 more
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