ISBN: 9781498788625 - handbook of graphical models (18 risultati)

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condizione: Brand New. 536 pages. 10.00x7.25x1.25 inches. In Stock.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A graphical model is a statistical model that isrepresented bya 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 connectionsThe handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models. 556 pp. Englisch.…

Hardcover. Condizione: Brand New. 536 pages. 10.00x7.25x1.25 inches. In Stock. This item is printed on demand.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Prof.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A graphical model is a statistical model that isrepresented bya 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 connectionsThe handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.…

Buch. Condizione: Neu. Handbook of Graphical Models | Marloes Maathuis (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2018 | CRC Press | EAN 9781498788625 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu Print on Demand.…