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This book provides a self-contained introduction to a new class of stochastic models for systems of spiking neurons.... Read More >>
Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter... Read More >>
This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers... Read More >>
Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis... Read More >>
This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability... Read More >>
This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics,... Read More >>
Air Transportation Industry considers the influence of political, legal, economic, social, and technological factors... Read More >>
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Tested and refined through years of the authors’ teaching experiences, this text provides a unified, self-contained... Read More >>
Since the first edition of this book published, Bayesian networks have become even more important for applications... Read More >>
Written by a well-known expert of asset management and risk parity, this book provides an up-to-date treatment of... Read More >>
Through a set of related yet distinct texts, the author offers a thorough presentation of the classical theory of... Read More >>
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there... Read More >>
Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the... Read More >>
This book covers part of the learning outcomes of the Fundamentals of Actuarial Mathematics (FAM) exam and the Advanced... Read More >>