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Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Bay State Book Company, North Smithfield, RI, U.S.A.
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Condizione: very_good.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Majestic Books, Hounslow, Regno Unito
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EUR 68,30
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 254.
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Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 254.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 67,28
Spedizione EUR 17,35
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Chain Event Graphs (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: killarneybooks, Inagh, CLARE, Irlanda
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Prima edizione
EUR 49,50
Spedizione EUR 33,70
Spedito da Irlanda a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Good. 1st Edition. Hardcover, xx + 233 pages, NOT ex-library. Interior is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Boards show short creases to corners. Issued without a dust jacket. -- Contents: 1. Introduction [Some motivation; Why event trees?; Using event trees to describe populations; How we have arranged the material in this book; Exercises] 2. Bayesian inference using graphs [Inference on discrete statistical models (Two common sampling mass functions; Two prior-to-posterior analyses; Poisson-Gamma and Multinomial-Dirichlet; MAP model selection using Bayes Factors); Statistical models and structural hypotheses (An example of competing models; Parametric statistical model); Discrete Bayesian networks (Factorisations of probability mass functions; The d-separation theorem; DAGs coding the same distributional assumptions; Estimating probabilities in a BN; Propagating probabilities in a BN); Concluding remarks; Exercises]; 3. The Chain Event Graph [Models represented by tree graphs (Probability trees; Staged trees); The semantics of the Chain Event Graph; Comparison of stratified CEGs with BNs; Examples of CEG semantics (The saturated CEG; The simple CEG; The square-free CEG); Some related structures; Exercises]; 4. Reasoning with a CEG [Encoding qualitative belief structures with CEGs (Vertex- and edge-centred events; Intrinsic events; Conditioning in CEGs; Vertex-random variables, cuts and independence); CEG statistical models (Parametrised subsets of the probability simplex; The swap operator; The resize operator; The class of all statistically equivalent staged trees); Exercises]; 5. Estimation and propagation on a given CEG [Estimating a given CEG (A conjugate analysis; How to specify a prior for a given CEG; Example: learning liver and kidney disorders; When sampling is not random); Propagating information on trees and CEGs (Propagation when probabilities are known; Example: propagation for liver and kidney disorders; Propagation when probabilities are estimated; Some final comments); Exercises]; 6. Model selection for CEGs [Calibrated priors over classes of CEGs; Log-posterior Bayes Factor (lpBF) scores; CEG greedy and dynamic programming search (Greedy SCEG search using AHC; SCEG exhaustive search using DP); Technical advances for SCEG model selection (DP and AHC using a block ordering; A pairwise moment non-local prior); Exercises]; 7. How to model with a CEG: a real-world application [Previous studies and domain knowledge; Searching the CHDS dataset with a variable order; Searching the CHDS dataset with a block ordering; Searching the CHDS dataset without a variable ordering; Issues associated with model selection (Exhaustive CEG model search; Searching the CHDS dataset using NLPs; Setting a prior probability distribution); Exercise]; 8. Causal inference using CEGs [Bayesian networks and causation (Extending a BN to a causal BN; Problems of describing causal hypotheses using a BN); Defining a do-operation for CEGs (Composite manipulations; Example: student housing situation; Some special manipulations of CEGs); Causal CEGs (When a CEG can legitimately be called causal; Example: manipulations of the CHDS; Backdoor theorems); Causal discovery algorithms for CEGs; Exercises]; References; Index.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 71,21
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Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
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Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 71,22
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Chain Event Graphs (Hardcover)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10: 1498729606 ISBN 13: 9781498729604
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of discrete Bayesian Networks so that they apply in a much more general setting As the first book on Chain Event Graphs, this monograph is expected to become a landmark work on the use of event trees and coloured probability trees in statistics, and to lead to the increased use of such tree models to describe hypotheses about how events might unfold.Features: introduces a new and exciting discrete graphical model based on an event tree focusses on illustrating inferential techniques, making its methodology accessible to a very broad audience and, most importantly, to practitioners illustrated by a wide range of examples, encompassing important present and future applications includes exercises to test comprehension and can easily be used as a course book introduces relevant software packages Rodrigo A. Collazo is a methodological and computational statistician based at the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro, Brazil. Christiane Goergen is a mathematical statistician at the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. Jim Q. Smith is a professor of statistics at the University of Warwick, UK. He has published widely in the field of statistics, AI, and decision analysis and has written two other books, most recently Bayesian Decision Analysis: Principles and Practice (Cambridge University Press 2010). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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CHAIN EVENT GRAPHS
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Majestic Books, Hounslow, Regno Unito
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EUR 128,99
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 121,29
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Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 120,20
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CHAIN EVENT GRAPHS
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Books Puddle, New York, NY, U.S.A.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Revaluation Books, Exeter, Regno Unito
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EUR 136,06
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Aggiungi al carrelloHardcover. Condizione: Brand New. 233 pages. 9.50x6.50x0.75 inches. In Stock.
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CHAIN EVENT GRAPHS
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 145,35
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EUR 120,82
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Aggiungi al carrelloGebunden. Condizione: New. Rodrigo A. Collazo, Christiane Goergen, Jim Q. Smith Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical infere.
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Chain Event Graphs (Hardcover)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2018
ISBN 10: 1498729606 ISBN 13: 9781498729604
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 146,09
Spedizione EUR 32,09
Spedito da Australia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Written by some major contributors to the development of this class of graphical models, Chain Event Graphs introduces a viable and straightforward new tool for statistical inference, model selection and learning techniques. The book extends established technologies used in the study of discrete Bayesian Networks so that they apply in a much more general setting As the first book on Chain Event Graphs, this monograph is expected to become a landmark work on the use of event trees and coloured probability trees in statistics, and to lead to the increased use of such tree models to describe hypotheses about how events might unfold.Features: introduces a new and exciting discrete graphical model based on an event tree focusses on illustrating inferential techniques, making its methodology accessible to a very broad audience and, most importantly, to practitioners illustrated by a wide range of examples, encompassing important present and future applications includes exercises to test comprehension and can easily be used as a course book introduces relevant software packages Rodrigo A. Collazo is a methodological and computational statistician based at the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro, Brazil. Christiane Goergen is a mathematical statistician at the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. Jim Q. Smith is a professor of statistics at the University of Warwick, UK. He has published widely in the field of statistics, AI, and decision analysis and has written two other books, most recently Bayesian Decision Analysis: Principles and Practice (Cambridge University Press 2010). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Chain Event Graphs
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Taylor & Francis Inc Jan 2018, 2018
ISBN 10: 1498729606 ISBN 13: 9781498729604
EUR 149,22
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Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware.
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Chain Event Graphs (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Mispah books, Redhill, SURRE, Regno Unito
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EUR 195,37
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Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 18 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 76,95
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 254.
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EUR 57,92
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rodrigo A. Collazo, Christiane Goergen, Jim Q. SmithRodrigo A. Collazo is a methodological and computational statistician based at the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro, Brazil. Christiane Goergen is a mathe.
