Handbook of Graphical Models
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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.
Key features:
* Contributions by leading researchers from a range of disciplines
* Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications
* Balanced coverage of concepts, theory, methods, examples, and applications
* Chapters can be read mostly independently, while cross-references highlight connections
The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.
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Marloes Maathuis is Professor of Statistics at ETH Zurich.
Mathias Drton is Professor of Statistics at the University of Copenhagen and the University of Washington.
Steffen Lauritzen is Professor of Statistics at the University of Copenhagen.
Martin Wainwright is Chancellor's Professor at the University of Berkeley.
