Handbook of Graphical Models Paperback / softback
Edited by Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin (Department of Statistics, University of California, Berkeley) Wainwright
Part of the Chapman & Hall/CRC Handbooks of Modern Statistical Methods series
Paperback / softback
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Description
A graphical model is a statistical model that is represented by a graph.
The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications.
Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope.
Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Features: Contributions by leading researchers from a range of disciplinesStructured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applicationsBalanced coverage of concepts, theory, methods, examples, and applicationsChapters can be read mostly independently, while cross-references highlight connectionsThe handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.
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Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:536 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:18/12/2020
- Category:
- ISBN:9780367732608
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:536 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:18/12/2020
- Category:
- ISBN:9780367732608