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Bayesian Networks in R with Applications in Systems Biology /

Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters wit...

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Bibliografiske detaljer
Main Authors: Nagarajan, Radhakrishnan. (Author, http://id.loc.gov/vocabulary/relators/aut), Scutari, Marco. (http://id.loc.gov/vocabulary/relators/aut), Lèbre, Sophie. (http://id.loc.gov/vocabulary/relators/aut)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:English
Udgivet: New York, NY : Springer New York : Imprint: Springer, 2013.
Udgivelse:1st ed. 2013.
Serier:Use R!, 48
Fag:
Statistics .
Programming languages (Electronic computers).
Statistics and Computing/Statistics Programs.
Statistical Theory and Methods.
Programming Languages, Compilers, Interpreters.
Online adgang:https://doi.org/10.1007/978-1-4614-6446-4
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Indholdsfortegnelse:
  • Introduction
  • Bayesian Networks in the Absence of Temporal Information
  • Bayesian Networds in the Presence of Temporal Information
  • Bayesian Network Inference Algorithms
  • Parallel Computing for Bayesian Networks
  • Solutions
  • Index
  • References.

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