Results 1 to 10 of about 8,346,191 (267)
Justifying Objective Bayesianism on Predicate Languages [PDF]
Entropy, 2015 Objective Bayesianism says that the strengths of one’s beliefs ought to be probabilities, calibrated to physical probabilities insofar as one has evidence of them, and otherwise sufficiently equivocal. These norms of belief are often explicated using the
Jürgen Landes, Jon Williamson
doaj +5 more sources
An objective Bayesian analysis of life's early start and our late arrival. [PDF]
Proc Natl Acad Sci U S A, 2020 Life emerged on the Earth within the first quintile of its habitable window, but a technological civilization did not blossom until its last. Efforts to infer the rate of abiogenesis, based on its early emergence, are frustrated by the selection effect ...
Kipping D.
europepmc +4 more sources
Ambiguity aversion, modern Bayesianism and small worlds [version 1; peer review: 2 approved] [PDF]
Open Research Europe, 2021 The central question of this paper is whether a rational agent under uncertainty can exhibit ambiguity aversion (AA). The answer to this question depends on the way the agent forms her probabilistic beliefs: classical Bayesianism (CB) vs modern ...
Nikitas Pittis +4 more
doaj +2 more sources
Objective Bayesianism and the Maximum Entropy Principle
Entropy, 2013 Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities; they should be calibrated to our evidence of physical probabilities; and they should otherwise equivocate sufficiently between the basic ...
Jon Williamson, Jürgen Landes
doaj +2 more sources
Empirical Bayes Methods, Evidentialism, and the Inferential Roles They Play [PDF]
EntropyEmpirical 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
The Principal Principle Implies the Principle of Indifference [PDF]
British Journal for the Philosophy of Science, 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,
Hawthorne, James +3 more
core +2 more sources
Bayes and health care research. [PDF]
, 2005 Bayes’ rule shows how one might rationally change one’s beliefs in the light of evidence. It is the foundation of a statistical method called Bayesianism.
A. Chalmers +34 more
core +1 more source
Sample-efficient Multi-objective Molecular Optimization with GFlowNets [PDF]
Neural Information Processing Systems, 2023 Many crucial scientific problems involve designing novel molecules with desired properties, which can be formulated as a black-box optimization problem over the discrete chemical space. In practice, multiple conflicting objectives and costly evaluations (
Yiheng Zhu +6 more
semanticscholar +1 more source
The heuristic conception of inference to the best explanation [PDF]
, 2017 An influential suggestion about the relationship between Bayesianism and inference to the best explanation holds that IBE functions as a heuristic to approximate Bayesian reasoning.
Dellsén, Finnur
core +3 more sources
DELIBERATION, JUDGEMENT AND THE NATURE OF EVIDENCE [PDF]
, 2014 A normative Bayesian theory of deliberation and judgement requires a procedure for merging the evidence of a collection of agents. In order to provide such a procedure, one needs to ask what the evidence is that grounds Bayesian probabilities.
Dawid +13 more
core +3 more sources