Graphical models Steffen L. Lauritzen

Format:

Book

Author/Creator:

Lauritzen, Steffen L., author.

Series:

Oxford statistical science series 41

Language:

English

Subjects (All):

Graphical modeling (Statistics).

Physical Description:

1 online resource

illustration

Edition:

Second edition

Place of Publication:

Oxford University Press, 2026.

Oxford New York, NY Oxford University Press 2026

Summary:

The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. 'Graphical Models' provides the basic mathematical and statistical theory of graphical models, incorporating the many advances that have been made in the field. Lauritzen discusses basic graph theory and the fundamentals of conditional independence both in abstract form for conditional independence based on graphs and for probabilistic conditional independence. The associated Markov theory, forming the basis of all models in the book, is treated in some detail

Notes:

Previous edition: Oxford: Clarendon Press, 2004

Includes bibliographical references and index

Description based on online resource and publisher information; title from PDF title page (viewed on April 8, 2026)

Other Format:

Print version :

ISBN:

9780191775284

0191775282

OCLC:

1583711582

Publisher Number:

CIPO000373943

Access Restriction:

Restricted for use by site license