Bayerische Staatsbibliothek -- History : Information, Innovation, Inspiration : 450 Jahre Bayerische Staatsbibliothek / herausgegeben von Rolf Griebel und Klaus Ceynowa ; Redaktion, Klaus Haller

2008

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Bayerische Staatsbibliothek. Manuscript. Cgm 314. / http://id.loc.gov/authorities/names/no2015116037 : Die neuen Psalmenhomilien : eine kritische Edition des Codex Monacensis Graecus 314 / herausgegeben von Lorenzo Perrone ; in Zusammenarbeit mit Marina Molin Pradel, Emanuela Prinzivalli und Antonio Cacciari

Bayerisches Staatsballett. / http://id.loc.gov/authorities/names/no2009180172 : Hans van Manen : Concertante (Bavarian State Ballet) / directed by Thomas Grimm ; choreographed by Hans van Manen ; performed by Bavarian State Ballet (Bayerisches Staatsballett)

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