Description

Book Synopsis
1. Introduction.- 2. Undirected graphical models.- 3. Directed graphical models.- 4. Marginal models: definition.- 5. Marginal log-linear models: applications.- ?6. Path models.- 7. Relational models: definition and interpretation.- 8. Relational models as exponential families.- 9. Relational models: estimation and testing.- 10. Model testing.- 11. The mixture index of fit.

Lectures on Advanced Topics in Categorical Data

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    A Hardback by Tamás Rudas

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      View other formats and editions of Lectures on Advanced Topics in Categorical Data by Tamás Rudas

      Publisher: Springer
      Publication Date: 12/17/2024
      ISBN13: 9783031558542, 978-3031558542
      ISBN10: 3031558545
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis
      1. Introduction.- 2. Undirected graphical models.- 3. Directed graphical models.- 4. Marginal models: definition.- 5. Marginal log-linear models: applications.- ?6. Path models.- 7. Relational models: definition and interpretation.- 8. Relational models as exponential families.- 9. Relational models: estimation and testing.- 10. Model testing.- 11. The mixture index of fit.

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