This book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures ...
Continue readingThis book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
Continue readingThe book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
Continue readingThe main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful ...
Continue readingApplied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic ...
Continue readingThis Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Continue readingThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
Continue readingWith its many easy-to-follow mathematical examples, this book takes the reader on an almost chronological trip through the ...
Continue readingThis book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic ...
Continue readingThis book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
Continue readingThis book introduction to statistical inference in observational studies and a detailed discussion of the principles that ...
Continue readingThis book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase ...
Continue readingPresents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
Continue readingThis book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, ...
Continue readingThis book presents 20 peer-reviewed chapters on current aspects of derivatives markets and derivative pricing. The contributions, ...
Continue readingThis book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
Continue readingThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Continue readingThis book introduces and explains classical and modern mathematical procedures as applied to the real problems confronting ...
Continue readingThis book contains fundamental elements of mathematics and includes the following elements: notion of logic, propositions, ...
Continue readingThis book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). ...
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