Handbook of Graphical Models (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Categories: Kindle Store, Kindle eBooks, Science & Math

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. 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.


Sticky notes: Not Enabled
Language: English
File size: 44361 KB
Publisher: CRC Press
Publication date: November 12, 2018
ISBN-13: 978-0367732608
Edition: 1st
Part of series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
subtitle: 1st Edition, Kindle Edition
author: Marloes Maathuis Mathias Drton Steffen Lauritzen Martin Wainwright