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Birkhäuser
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Seminar on Stochastic Processes, 1984

  • Book
  • © 1986

Overview

Part of the book series: Progress in Probability (PRPR, volume 9)

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Table of contents (12 chapters)

Keywords

About this book

This volume consists of about half of the papers presented during a three-day seminar on stochastic processes held at Northwestern U- versity, Evanston. The seminar was the fourth of such yearly seminars aimed at bringing together a small group of researchers to discuss their current work in an informal atmosphere. The invited participants in the seminar were B.W. ATKINSON, R.M. BLUMENTHAL, K. BURDZY, D. BURKHOLDER, M. CRANSTON, C. DOLEANS"'DADE, J.L. DOOB, N. FALKNER, P. FITZSIMMONS, J. GLOVER, F. KNIGHT, T. McCONNELL, J.B. MITRO, S. OREY, J. PITMAN, A.O. PITTENGER, Z. POP- STOJANOVIC, P. PROTTER, T. SALISBURY, M. SHARPE, C.T. SHIH, A. SZNITMAN, S.J. TAYLOR, J. WALSH, and R. WILLIAMS. We thank them and the other partiCipants for the lively seminar they created. The seminar was made possible through the partial support of the Air Force Office of Scientific Research via their Grant No. 82-0109 to Northwestern University. E.

Editors and Affiliations

  • Civil Engineering Department, Princeton University, Princeton, USA

    E. Çinlar

  • Department of Mathematics, Stanford University, Stanford, USA

    K. L. Chung

  • Department of Mathematics, University of California, San Diego La Jolla, USA

    R. K. Getoor

Bibliographic Information

  • Book Title: Seminar on Stochastic Processes, 1984

  • Editors: E. Çinlar, K. L. Chung, R. K. Getoor

  • Series Title: Progress in Probability

  • DOI: https://doi.org/10.1007/978-1-4684-6745-1

  • Publisher: Birkhäuser Boston, MA

  • eBook Packages: Springer Book Archive

  • Copyright Information: Birkhäuser Boston, Inc. 1986

  • Softcover ISBN: 978-1-4684-6747-5Published: 19 March 2012

  • eBook ISBN: 978-1-4684-6745-1Published: 06 December 2012

  • Series ISSN: 1050-6977

  • Series E-ISSN: 2297-0428

  • Edition Number: 1

  • Number of Pages: VIII, 252

  • Topics: Probability Theory and Stochastic Processes

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