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Computational Bayesian Statistics
Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.
Análise de Dados Categorizados
Este livro aborda a análise de dados categorizados sob um enfoque sui generis, em que se detalham as questões de interesse geradas pelos problemas práticos que originaram os dados, se explicitam os modelos estatísticos empregados para respondê-las, se esmiúça a metodologia necessária para as inferências daí decorrentes e finalmente, se pormenorizam os resultados práticos, evidenciando suas contribuições e limitações. O texto é escrito com o cuidado de equilibrar o rigor almejado por pesquisadores com a precisão e a clareza requeridas por usuários de técnicas estatísticas. Nesse sentido, vários exemplos são analisados de uma maneira bastante detalhada, permitindo que o livro possa ser útil tanto para investigadores atraídos pelos meandros da metodologia estatística quanto por utilizadores conscienciosos interessados em análises estatísticas bem fundamentadas.
New Advances in Statistical Modeling and Applications
This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazaré, from September 28 to October 1, 2011. All contributions were selected after a thorough peer-review process. It covers a broad scope of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.
Computational Bayesian Statistics
This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods.
Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009. It covers a broad scope of theoretical, methodological as well as application-oriented articles in domains such as: Linear Models and Regression, Survival Analysis, Extreme Value Theory, Statistics of Diffusions, Markov Processes and other Statistical Applications.
Principles of Statistical Analysis
This concise course in data analysis and inference for the mathematically literate builds on survey sampling and designed experiments.
Exponential Families in Theory and Practice
This accessible course on a central player in modern statistical practice connects models with methodology, without need for advanced math.
Two-Dimensional Random Walk
A visual, intuitive introduction in the form of a tour with side-quests, using direct probabilistic insight rather than technical tools.
Bayesian Filtering and Smoothing
A Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.
Scheduling and Control of Queueing Networks
A graduate text on theory and methods using applied probability techniques for scheduling service, manufacturing, and information networks.
