Results 331 to 340 of about 2,535,602 (380)

Bayesian Approach to Probability

2016
The Bayesian approach to probability allows to define in a quantitative way probabilities associated to statement whose truth or falsity is not known. This also applies to the knowledge of unknown parameters in physics, allowing to assign a probability to the possibility that a parameter’s value lies within a certain interval.
openaire   +2 more sources

The Logic of Bayesian Probability

, 2001
C. Howson
semanticscholar   +2 more sources

Inseason Forecasting of Bristol Bay, Alaska, Sockeye Salmon (Oncorhynchus nerka) Abundance Using Bayesian Probability Theory

, 1988
A Bayesian probability model was developed for the Bristol Bay, Alaska, sockeye salmon (Oncorhynchus nerka) fishery to examine potential benefits of using a formal framework for incorporating several independent run size estimators into a single "best ...
Stephen M. Fried, R. Hilborn
semanticscholar   +1 more source

Analysis of multicomponent mass spectra applying Bayesian probability theory.

Journal of Mass Spectrometry, 2001
In this paper we develop a method for the decomposition of mass spectra of gas mixtures, together with the relevant calibration measurements. The method is based on Bayesian probability theory.
T. Schwarz-Selinger, R. Preuss, V. Dose, W. V. D. Linden   +3 more
semanticscholar   +1 more source

Bayesian Probability

Business, 2022
S. Aityan
semanticscholar   +1 more source

Bayesian Probability and Statistics: a Review

2015
Our ultimate goal is to draw inferences about the state of a student’s proficiency, which is unknown, from observations, which are known. This chapter reviews the ideas, models, and concepts of probability and Bayesian inference that will be needed.
David M. Williamson, Linda S. Steinberg, Robert J. Mislevy, Duanli Yan, Russell G. Almond   +4 more
openaire   +2 more sources

Bayesian Conditionalization and Probability Kinematics

The British Journal for the Philosophy of Science, 1994
L'A. confronte le principe de conditionnalisation de Bayes, tel qu'il fonde la theorie personnaliste des probabilites personnelles, a la theorie cinematique de probabilite inauguree par R. C. Jeffrey, et fondee sur un autre principe de conditionnalisation dont la validite, comme celle du principe de Bayes, est garantie par l'argument du livre ...
Colin Howson, Allan Franklin
openaire   +2 more sources

Bayesian Probability Approach to ADHD Appraisal

2009
Accurate diagnosis of attentional disorders such as attention-deficit hyperactivity disorder (ADHD) is imperative because there are multiple negative psychosocial sequelae related to undiagnosed and untreated ADHD. Early and accurate detection can lead to effective intervention and prevention of negative sequelae.
Raina Robeva, Jennifer Kim Penberthy
openaire   +3 more sources

Thomson scattering analysis with the Bayesian probability theory

, 2002
Electron density and electron temperature profiles are reconstructed from Thomson scattering data on the stellarator Wendelstein 7-AS by means of systematic statistical modelling employing the Bayesian probability theory (BPT).
R. Fischer, C. Wendland, A. Dinklage, S. Gori, V. Dose   +4 more
semanticscholar   +1 more source

Meta-analysis for combining Bayesian probabilities

Medical Hypotheses, 1991
Bayesian analysis is a method by which the reliability of diagnostic tests can be determined. It produces a probability of a patient having the disease given a positive test result (posterior probability). If more than one study of a given test's diagnostic accuracy is done, then how can we determine which of these studies has produced the most ...
openaire   +3 more sources