Description

Book Synopsis
Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the underlying conditional independence.

Table of Contents
Independence and Interaction.

Independence Graphs.

Information Divergence.

The Inverse Variance.

Graphical Gaussian Models.

Graphical Log-Linear Models.

Model Selection.

Methods for Sparse Tables.

Regression and Graphical Chain Models.

Models for Mixed Variables.

Decompositions and Decomposability.

Appendices.

References.

Author Index.

Subject Index.

Graphical Models in Applied Multivariate

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    A Hardback by J. Whittaker


      View other formats and editions of Graphical Models in Applied Multivariate by J. Whittaker

      Publisher: Wiley
      Publication Date: 3/28/1990 12:00:00 AM
      ISBN13: 9780471917502, 978-0471917502
      ISBN10: 0471917508
      Also in:
      Mathematics Mathematical modelling

      Description

      Book Synopsis
      Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the underlying conditional independence.

      Table of Contents
      Independence and Interaction.

      Independence Graphs.

      Information Divergence.

      The Inverse Variance.

      Graphical Gaussian Models.

      Graphical Log-Linear Models.

      Model Selection.

      Methods for Sparse Tables.

      Regression and Graphical Chain Models.

      Models for Mixed Variables.

      Decompositions and Decomposability.

      Appendices.

      References.

      Author Index.

      Subject Index.

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