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Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367732602 ISBN 13: 9780367732608
Language: English
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Published by Taylor & Francis Group, 2018
ISBN 10: 1498788629 ISBN 13: 9781498788625
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ISBN 10: 1498788629 ISBN 13: 9781498788625
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ISBN 10: 1498788629 ISBN 13: 9781498788625
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Taschenbuch. Condition: Neu. Handbook of Graphical Models | Marloes Maathuis (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367732608 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Published by Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10: 1498788629 ISBN 13: 9781498788625
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Hardcover. Condition: new. Hardcover. 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 connectionsThe handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Inc, 2018
ISBN 10: 1498788629 ISBN 13: 9781498788625
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ISBN 10: 1498788629 ISBN 13: 9781498788625
Language: English
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Hardcover. Condition: new. Hardcover. 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 connectionsThe handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Taylor & Francis, CRC Press, 2020
ISBN 10: 0367732602 ISBN 13: 9780367732608
Language: English
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 554 pp. Englisch.