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