Results 31 to 40 of about 166,638 (162)

Intuitionistc probability and the Bayesian objection to dogmatism [PDF]

Synthese, 2016
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openaire   +3 more sources

A Bayesian ARMA Probability Density Estimator

Entropy
A Bayesian approach for constructing ARMA probability density estimators is proposed. Such estimators are ratios of trigonometric polynomials and have a number of advantages over Fourier series estimators, including parsimony and greater efficiency under
Jeffrey D. Hart
doaj   +1 more source

Dynamic reliability prediction of bridge member based on Bayesian dynamic nonlinear model and monitored data

Advances in Mechanical Engineering, 2016
Bridge monitoring systems provide a huge number of stress data used for reliability prediction. In this article, the dynamic measure of structural stress over time is considered as a time series, and considering the limitation of the existing Bayesian ...
Xueping Fan, Yuefei Liu
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Ship Target Identification via Bayesian-Transformer Neural Network

Journal of Marine Science and Engineering, 2022
Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,
Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong, Pingliang Xu   +5 more
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Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning

MDM Policy & Practice, 2022
Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., with double-trees or net diagrams) leads to higher ...
Alexandra K. Kunzelmann, Karin Binder, Martin R. Fischer, Martin Reincke, Leah T. Braun, Ralf Schmidmaier   +5 more
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Bayesian combination of correlated subjective probability estimates

Judgment and Decision Making
The combination of human forecasters’ subjective probability estimates usually improves upon the estimates provided by individual forecasters. In order to combine the probability estimates in a Bayes optimal way, prior work proposed a normative Bayesian ...
Susanne Trick, Frank Jäkel, Costantin A. Rothkopf   +2 more
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An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

Entropy, 2016
In this work, we propose a new approach of deriving the bounds between entropy and error from a joint distribution through an optimization means. The specific case study is given on binary classifications.
Bao-Gang Hu, Hong-Jie Xing
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Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering

International Journal of Electrochemistry, 2011
Bayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule.
Thomas Z. Fahidy
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Commutativity of probabilistic belief revision

Frontiers in Cognition
Bayesian updating, also known as belief revision or conditioning, is a core mechanism of probability theory, and of AI. The human mind is very sensitive to the order in which it is being “primed”, but Bayesian updating works commutatively: the order of ...
Bart Jacobs
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Using the Bayesian method to improve measurement accuracy in conditions of uncertainty and lack of information from information and measurement systems

Известия высших учебных заведений: Проблемы энергетики
RELEVANCE of the research lies in the need to improve the accuracy and reliability of information and measurement systems (AIS) in conditions of uncertainty and incompleteness of information.
L. S. Zvyagin
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