Theory of Random Sets

1. Auflage. Softcover version of original hardcover Auflage 2005
ISBN: 978-1-84996-949-9
Verlag: Springer

Buch, Englisch, 488 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: Probability and Its Applications

Stochastic geometry is a relatively new branch of mathematics. Although its predecessors such as geometric probability date back to the 18th century, the formal concept of a random set was developed in the beginning of the 1970s. Theory of Random Sets presents a state of the art treatment of the modern theory, but it does not neglect to recall and build on the foundations laid by Matheron and others, including the vast advances in stochastic geometry, probability theory, set-valued analysis, and statistical inference of the 1990s.

The book is entirely self-contained, systematic and exhaustive, with the full proofs that are necessary to gain insight. It shows the various interdisciplinary relationships of random set theory within other parts of mathematics, and at the same time, fixes terminology and notation that are often varying in the current literature to establish it as a natural part of modern probability theory, and to provide a platform for future development.

Zielgruppe

Research

Autoren/Hrsg.

Molchanov, Ilya

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

Random Closed Sets and Capacity Functionals.- Expectations of Random Sets.- Minkowski Addition.- Unions of Random Sets.- Random Sets and Random Functions. Appendices: Topological Spaces.- Linear Spaces.- Space of Closed Sets.- Compact Sets and the Hausdorff Metric.- Multifunctions and Continuity.- Measures and Probabilities.- Capacities.- Convex Sets.- Semigroups and Harmonic Analysis.- Regular Variation. References.- List of Notation.- Name Index.- Subject Index.

Über Autor(innen)

Molchanov, Ilya
Ilya Molchanov is Professor of Probability Theory in the Department of Mathematical Statistics and Actuarial Science at the University of Berne, Switzerland.