Normalizing Constant: Probability Theory, Mathematics, Probability Density Function - Tapa blanda

Normalizing Constant

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Bayes' theoremsays that the posterior probability measure is proportional to theproduct of the prior probability measure and the likelihood function.Proportional to implies that one must multiply or divide by anormalizing constant to assign measure 1 to the whole space, i.e., toget a probability measure. In a simple discrete case we have where P(H0)is the prior probability that the hypothesis is true; P(D|H0) is theconditional probability of the data given that the hypothesis is truebut given that the data are known it is the likelihood of the hypothesis(or its parameters) given the data; P(H0|D) is the posterior probabilitythat the hypothesis is true given the data. P(D) should be theprobability of producing the data, but on its own is difficult tocalculate, so an alternative way to describe this relationship is as oneof proportionality.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Nº de ref. del artículo: 9786131135026

Contactar al vendedor