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Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions.
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Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the
What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when
Cost Effectiveness Analysis and Health Technology Assessment: An overview. - Building a decision tree cost effectiveness model. - An introduction to sensitivity analysis in Cost Effectiveness Analysis. - Implementing Probabilistic Sensitivity Analysis in Excel(R). - Outputs from Probabilistic
Risk and uncertainty are inescapable factors in agriculture which require careful management. Farmers face production risks from the weather, crop and livestock performance, and pests and diseases, as well as institutional, personal and business risks. This revised third edition of the popular
Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data
Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and
At a time when accountability and the avoidance of risk are increasingly demanded of social workers, the ability to make clear and informed decisions is essential. This book, written for practicing social workers undertaking their ASYE and compulsory CPD, has been designed to help professionals
This cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight into relationships throughout all layers of networks and across all wireless applications. It encompasses conventional considerations of spectrum and waveform selection
Provides a comprehensive guide to assessing creditworthiness, quantifying and rating credit risk, and modelling default likelihoodPresents both principles and practical applications aimed at beginners in their credit careersCovers a cross-section of industries including service, commercial real
Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set. Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and
Part I - Market Picture and Development Challenges.- European Life Insurance Market - Analysis of Current Situation and Development Prospects.- Social Determinants of Life Insurance in the European Union.- The Challenges Faced by Life Insurance Companies in the Baltic States.- The Turkish Life
As there is a need for careful analysis in a world where threats are growing more complex and serious, you need the tools to ensure that sensible methods are employed and correlated directly to risk. Counter threats such as terrorism, fraud, natural disasters, and information theft with the Fourth
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through
Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who
'In its comprehensive sweep, deep probing and acute critical analysis, Finkelstein's study stands alone.'--Noam Chomsky 'No one who ventures an opinion on Gaza . . . is entitled to do so without taking into account the evidence in this book.' --The InterceptThe Gaza Strip is among the most densely
Advanced Fitness Assessment and Exercise Prescription, Eighth Edition With Online Video, provides a comprehensive approach to physical fitness appraisal and customized exercise prescription. The text synthesizes research and practice with concepts and theories from exercise physiology,
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear
Networks are everywhere, from the internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social
Valuable software, realistic examples, clear writing, and fascinating topics help you master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS, 8E. You'll find everything you need to become proficient in today's most widely used business analytics
Africa Reimagined is a thoughtful analysis of Africa's past, present and future, a sobering assessment of where it stands today, and where it needs to go, at once unnervingly candid and inspiring. Imagine if in the year 2040, 40 of Africa's 55 nations have chosen to join together in a Pan African
Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks