 
                This book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures ...
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                This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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                The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
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                The main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful ...
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                Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic ...
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                This 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 ...
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                With its many easy-to-follow mathematical examples, this book takes the reader on an almost chronological trip through the ...
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                This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic ...
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                This book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face ...
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                This 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 ...
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                Presents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
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                This 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, ...
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                This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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                This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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                This book introduces and explains classical and modern mathematical procedures as applied to the real problems confronting ...
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                This book contains fundamental elements of mathematics and includes the following elements: notion of logic, propositions, ...
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                This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). ...
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