Results 21 to 30 of about 1,626 (283)
We are All Bayesian, Everyone is Not a Bayesian [PDF]
Topoi, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreoletti, Mattia, Oldofredi, Andrea
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The Principal Principle Implies the Principle of Indifference [PDF]
, 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
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Interpretation of Probabilistic Statements in Science [PDF]
حکمت و فلسفه, 2010 Science often seems to issue statements about probability of some occurrence. In this paper, we will take a look at three different interpretations of probability.
amir ehsan karbasi zadeh +1 more
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Probabilistic Sophistication and Reverse Bayesianism [PDF]
, 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
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Proceedings of the AAAI Conference on Artificial Intelligence, 2019 We consider the problem of how decision making can be fair when the underlying probabilistic model of the world is not known with certainty. We argue that recent notions of fairness in machine learning need to explicitly incorporate parameter uncertainty, hence we introduce the notion of Bayesian fairness as a suitable candidate for fair decision rules.
Dimitrakakis, C. (Christos) +3 more
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Thoughts on jun otsuka’s thinking about statistics– the philosphical foundations [PDF]
ریاضی و جامعهJun Otsuka’s excellent book, Thinking about Statistics - the Philosophical Foundations (Otsuka 2023) is mostly organized around the idea that diferent statistical approaches can be illuminated by linking them to diferent ideas in general epistemology ...
Mohammad Ghasem Vahidi Asl
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Bayesian Exploration: Incentivizing Exploration in Bayesian Games [PDF]
Operations Research, 2016 In a wide range of recommendation systems, self-interested individuals (“agents”) make decisions over time, using information revealed by other agents in the past, and producing information that may help agents in the future. Each agent would like to exploit the best action given the current information but would prefer the previous agents to explore ...
Yishay Mansour +3 more
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Free Will: A consensus gentium Argument [PDF]
Organon FThis argument for free will is a probabilistic one based upon two conjectures: first, that of consensus; namely, that a large majority of people believe that they and others have free will and second, that a priori proofs against the existence of free ...
William Hunt
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Bayesian testing and testing bayesians [PDF]
, 1992 This chapter focuses on Bayesian methods and illustrates both the intrinsic unity of Bayesian thinking, and its basic flexibility to adjust to and to cope with a wide range of circumstances. Two ideas are emphasized in the chapter. Firstly hypothesis testing and model choice have been dealt with as a single class of problems met with so strikingly ...
Florens, Jean-Pierre, Mouchart, Michel
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The Renegade Subjectivist: José Bernardo’s Reference Bayesianism [PDF]
, 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
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