A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate ...
Lire la suiteTheory of Random Sets presents a state of the art treatment of the modern theory, but it does not neglect to recall and build ...
Lire la suiteThe first three papers describe the applicability of bio-inspired techniques in the technical domain of computing and communication. ...
Lire la suiteThe present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty ...
Lire la suiteUncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, and countable subadditivity ...
Lire la suiteWe all feel that our world is fundamentally uncertain. But less unanimity emerges as to what we mean by "uncertainty" and ...
Lire la suiteAction planning has always played a central role in Artificial Intelligence. Given a description of the current situation, ...
Lire la suiteThis textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and ...
Lire la suiteCovers all of the major risk areas that a financial institution is exposed to and uses models for, including market risk, ...
Lire la suiteThis book presents recent results in the value-distribution theory of L-functions with emphasis on the phenomenon of universality. ...
Lire la suiteThis book presents theoretical framework and sample applications of variant construction. The first part includes the components ...
Lire la suiteWave propagation in random media is an interdisciplinary field that has emerged from the need in physics and engineering ...
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