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This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields.
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The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.
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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.
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This strategy is the opposite of most textbooks and reviews on data assimilation that typically take a bottom-up approach to derive a particular assimilation method.
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The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model... Læs mere
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The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to critically... Læs mere
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This is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of... Læs mere
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The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This... Læs mere
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Mathematical Statistics with Applications provides a thorough grounding in the prerequisite material along with an extensive link to the applications of the... Læs mere
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This book presents the state-of-the-art in new developments of the Fuzzy Analytical Hierarchy Process (FAHP). The AHP is used around the world in a variety of decision... Læs mere
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Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles
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This book should be of interest to undergraduate and postgraduate students of probability theory.