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Unlock the power of spatio-temporal data with “BAYESIAN MODELING OF SPATIO-TEMPORAL DATA WITH R 1ED.” This essential guide, perfect for applied scientists and statisticians, bridges the gap between theory and practice. Explore unified Bayesian modeling with comprehensive R package examples and user-friendly illustrations. Learn to build vocabulary with a dedicated jargon buster, and master computational techniques using popular platforms like rstan and INLA. Featuring practical case studies, model validation techniques inspired by machine learning, and accessible explanations, this book empowers you to analyze complex spatial and spatio-temporal data, estimate uncertainties, and make robust predictions in fields ranging from ecology to economics. Discover accessible Bayesian methods and computations for real-world applications.
5 in stock
