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Bayesian Networks: An Introduction
Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in clas...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
John Wiley & Sons Inc
2009
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1315082 |
| _version_ | 1780921327563046912 |
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| author | Koski, Timo Noble, John |
| author_facet | Koski, Timo Noble, John |
| author_sort | Koski, Timo |
| collection | CERN |
| description | Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include:.: An introduction to Dirichlet Distribution, Exponential Families and their applications.; A detailed description of learni |
| id | cern-1315082 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2009 |
| publisher | John Wiley & Sons Inc |
| record_format | invenio |
| spelling | cern-13150822021-04-22T01:14:29Zhttp://cds.cern.ch/record/1315082engKoski, TimoNoble, JohnBayesian Networks: An IntroductionMathematical Physics and MathematicsBayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions are carefully explained and feature exercises throughout. Features include:.: An introduction to Dirichlet Distribution, Exponential Families and their applications.; A detailed description of learniJohn Wiley & Sons Incoai:cds.cern.ch:13150822009 |
| spellingShingle | Mathematical Physics and Mathematics Koski, Timo Noble, John Bayesian Networks: An Introduction |
| title | Bayesian Networks: An Introduction |
| title_full | Bayesian Networks: An Introduction |
| title_fullStr | Bayesian Networks: An Introduction |
| title_full_unstemmed | Bayesian Networks: An Introduction |
| title_short | Bayesian Networks: An Introduction |
| title_sort | bayesian networks: an introduction |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1315082 |
| work_keys_str_mv | AT koskitimo bayesiannetworksanintroduction AT noblejohn bayesiannetworksanintroduction |