Bayes-Lernen : Deterministic and statistical methods in machine learning : first international workshop, Sheffield, UK, September 7-10, 2004 : revised lectures / Joab Winkler, Mahesan Niranjan, Neil Lawrence (eds.)

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result

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Bayesian Estimation. : Leaning Against Windy Bank Lending / by Giovanni Melina and stefania Villa

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result

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Bayesian Methods. : Fiscal Spillovers in the Euro Area : Letting the Data Speak / Era Dabla-Norris

A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result

Bayeux tapestry -- Bibliography : The Bayeux Tapestry : a critically annotated bibliography / John F. Szabo, Nicholas E. Kuefler

2015

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Bayeux tapestry -- Congresses : The Bayeux tapestry : new approaches : proceedings of a conference at the British Museum / edited by Michael J. Lewis, Gale R. Owen-Crocker and Dan Terkla

2011

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Tapestry -- France -- Bayeux. : The Bayeux tapestry and the Norman invasion / with an introduction and a translation from the contemporary account of William of Poitiers by Lewis Thorpe