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