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 Further, 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 ConnectionsThe Handbook Is Targeted At A Wide Audience, Including Graduate Students, Applied Researchers, And Experts In Graphical Models.
Is a well-known author, some of his books are a fascination for readers like in the
- 554 pages
- Handbook of Graphical Models
- Mathias Drton
- 27 August 2017 Mathias Drton