The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. This text explains the application of probability and statistics, in particular Bayesian networks, to genetics.
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Language: en
Pages: 406
Pages: 406
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. This text explains the application of probability and statistics, in particular Bayesian networks, to genetics.
Language: en
Pages: 424
Pages: 424
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book
Language: en
Pages: 647
Pages: 647
Data Structures & Theory of Computation
Language: en
Pages: 75
Pages: 75
Type: BOOK - Published: 2019-04-06 - Publisher: International Journal Statistics and Medical Informatics
Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency
Language: en
Pages: 412
Pages: 412
This title includes a number of Open Access chapters. The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.