Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series - Image 1

£87.26

CRC Press Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series

Name: Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series
Brand: CRC Press
Price: 86.57 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 46 days • 46 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 46 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £87 (34 days, 73.9%)

Price range: £84 - £87

Price levels: 4 different prices over 46 days

Description

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 Görgen 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).

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1498729606
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 30 January 2018
Listed Since: 26 April 2017

Barcode

No barcode data available

CRC Press Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Chain Event Graphs: Chapman & Hall/CRC Computer Science and Data Analysis Series

Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Probability and Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press Probability and Statistical Inference Textbook

Bayesian Networks and Decision Graphs (Information Science and Statistics)

Change Point Analysis: Theory and Application

Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)

Handbook of Graphical Models (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Monte Carlo Statistical Methods (Springer Texts in Statistics)

Bayesian Cost-Effectiveness Analysis of Medical Treatments (Chapman & Hall/CRC Biostatistics Series)

Probability and Statistics for Computer Scientists

Nonlinear Time Series: Theory, Methods and Applications with R Examples (Chapman & Hall/CRC Texts in Statistical Science)

ROC Curves for Continuous Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Sequential Analysis: Hypothesis Testing and Changepoint Detection (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Introduction to Statistical Modelling and Inference

Cause and Effect Business Analytics and Data Science: For Big and Small Data (Chapman and Hall/CRC Series on Statistics in Business and Economics)

Sequential Analysis: Hypothesis Testing and Changepoint Detection

Complex Stochastic Systems: 87 (CRC Monographs on Statistics & Applied Probability (Hardcover))

Event Mining: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

CRC Press Nonparametric Models for Longitudinal Data in R

Innovative Statistical Methods for Public Health Data (ICSA Book Series in Statistics)

Meta-analysis of Binary Data Using Profile Likelihood (Chapman & Hall/CRC Interdisciplinary Statistics)

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Interval-Censored Time-to-Event Data: Methods and Applications: 52 (Chapman & Hall/CRC Biostatistics Series)