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Applied Bayesian Hierarchical Methods
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods demonstrates the advantages of a Bayesian approach
Applied Bayesian Modelling
The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS – a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example – explaining fully the choice of model for each particular problem. The boo...
Bayesian Statistical Modelling
Bayesian methods draw upon previous research findings and combine them with sample data to analyse problems and modify existing hypotheses. The calculations are often extremely complex, with many only now possible due to recent advances in computing technology. Bayesian methods have as a result gained wider acceptance, and are applied in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Bayesian Statistical Modelling presents an accessible overview of modelling applications from a Bayesian perspective. * Provides an integrated presentation of theory, examples and computer algorithms * Examines model fitting ...
A Bomb in a Basket
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Bayesian Models for Categorical Data
The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes. * Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data). * Considers missing data models techniques and non-standard models (ZIP and negative binomial). * Evaluates time series and spat...
Policy, Planning, and People
Policy, Planning, and People presents original essays by leading authorities in the field of urban policy and planning. The volume includes theoretical and practice-based essays that integrate social equity considerations into state-of-the-art discussions of findings in a variety of planning issues.
Dyslexia and Other Learning Difficulties
This guide takes parents step by step through diagnosis, treatment, education and beyond into career options. Up-to-the-minute facts and practical advice enable them to pinpoint exactly what is wrong with their child, assess their child's rights and choose the right education from among the options.
Young People Not in Education, Employment Or Training
Young people not in education, employment or Training : Eighth report of session 2009-10, Vol. 2: Oral and written Evidence
William Congdon
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