Networks and Chaos - Statistical and Probabilistic Aspects
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This volume consists of a collection of tutorial papers by leading experts on statistical and probabilistic aspects of chaos and networks, in particular neural networks. While written for the non-expert, they are intended to bring the reader up to the forefront of knowledge and research in the subject areas concerned. The papers, which contain extensive references to the literature, can separately or in various combinations serve as bases for short- or full-length courses, at graduate or more advanced levels.
The papers are directed not only to mathematical statisticians but also to students and researchers in related fields of biology, engineering, geology, physics and probability.
Table of Contents
Mathematical methods of neurocomputing.- Statistical aspects of neural networks.- Statistical aspects of chaos: a review.- Chaotic dynamical systems with a View towards statistics: a review.- A tutorial on queuing networks.- River networks: a brief guide to the literature for statisticians and probabilists.- Random graphical networks.
Jensen, J L; Kendall, Wilfrid S.
"... should be compulsory reading for any new Ph.D. student in statistics."
-Short Book Reviews
"All papers serve their purpose...extremely well."
-Sttistics and Decisions