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Esta obra congrega resultados de pesquisas e estudos realizados por professores e acadêmicos de diversas áreas de conhecimento a respeito das migrações e refúgio, sob a perspectiva atual das políticas públicas e sociais no campo das desigualdades sociais vigentes na sociedade capitalista de hoje. A coletânea propõe continuidade das discussões apresentadas no livro I.
No percurso da pesquisa aprendemos que a territorialização é campo potente de afeto para a compreensão da saúde na fronteira, pois as narrativas, culturas e vivências denotam que o território expressa tensões, desconstruções e potências de vida e esperança.
The generation of offshore energy is a rapidly growing sector, competing for space in an already busy seascape. This book brings together the ecological, economic, and social implications of the spatial conflict this growth entails. Covering all energy-generation types (wind, wave, tidal, oil, and gas), it explores the direct and indirect impacts the growth of offshore energy generation has on both the marine environment and the existing uses of marine space. Chapters explore main issues associated with offshore energy, such as the displacement of existing activities and the negative impacts it can have on marine species and ecosystems. Chapters also discuss how the growth of offshore energy...
This book provides readers with a comprehensive review of severe asthma in children and adolescents, covering epidemiology, genetics, risk factors, co-morbidities, clinical presentation, diagnosis and treatment. Written by leaders in the field, chapter discussions draw on the mechanisms driving the disease, genetics, multidisciplinary approaches, immunomodulators, and other important aspects in the management of the disease. Severe Asthma in Children and Adolescents: Mechanisms and Management is designed to be a practical guide, opening with an introduction on the epidemiology of severe childhood asthma, as well as a discussion of special considerations of the disease unique to the preschool...
This issue will focus on treatments for Chronic Rhinosinusitis. Dr. Wyste Fokkens guest edits topics such as: "Inflammatory mechanisms in chronic rhinosinusitis with or without nasal polyposis," "European versus Asian Chronic rhinosinusitis. What did it teach us and what do we want to know," "Epithelium, cilia and mucus, their importance in chronic rhinosinusitis Noam Cohen Noam," "Aspirin intolerance: does desensitization alter the course of the disease," "Anti-inflammatory effects of macrolides: applications in CRS," and more!
Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the book focuses on time series of counts, some of the techniques discussed ca
The state-space approach provides a formal framework where any result or procedure developed for a basic model can be seamlessly applied to a standard formulation written in state-space form. Moreover, it can accommodate with a reasonable effort nonstandard situations, such as observation errors, aggregation constraints, or missing in-sample values. Exploring the advantages of this approach, State-Space Methods for Time Series Analysis: Theory, Applications and Software presents many computational procedures that can be applied to a previously specified linear model in state-space form. After discussing the formulation of the state-space model, the book illustrates the flexibility of the sta...
This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementary approaches. They discuss the main limit theorems for Markov chains, useful inequalities, statistical techniques to infer model parameters, and GLMs. Moving on to HMM models, the book examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference.
The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications to problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis. Numerous examples using data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional m...
Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands t...