Foundations of modern probability (Record no. 1853)

000 -LEADER
fixed length control field 01875nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241120120331.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180518s2002 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387953137
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Olav Kallenberg
245 ## - TITLE STATEMENT
Title Foundations of modern probability
Remainder of title : second edition
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer-Verlag,
Date of publication, distribution, etc. [c2002]
Place of publication, distribution, etc. Heidelberg:
300 ## - Physical Description
Pages: 638 p.
490 ## - SERIES STATEMENT
Series statement Probability and Its Applications
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Measure Theory — Basic Notions<br/>2. Measure Theory — Key Results<br/>3. Processes, Distributions, and Independence<br/>4. Random Sequences, Series, and Averages<br/>5. Characteristic Functions and Classical Limit Theorems <br/>6. Conditioning and Disintegration<br/>7. Martingales and Optional Times<br/>8. Markov Processes and Discrete-Time Chains<br/>9. Random Walks and Renewal Theory<br/>10. Stationary Processes and Ergodic Theory<br/>11. Special Notions of Symmetry and Invariance<br/>12. Poisson and Pure Jump-Type Markov Processes<br/>13. Gaussian Processes and Brownian Motion<br/>14. Skorohod Embedding and Invariance Principles<br/>15. Independent Increments and Infinite Divisibility<br/>16. Convergence of Random Processes, Measures, and Sets<br/>17. Stochastic Integrals and Quadratic Variation<br/>18. Continuous Martingales and Brownian Motion<br/>19. Feller Processes and Semigroups<br/>20. Ergodic Properties of Markov Processes <br/>21. Stochastic Differential Equations and Martingale Problems<br/>22. Local Time, Excursions, and Additive Functionals<br/>23. One-Dimensional SDEs and Diffusions<br/>24. Connections with PDEs and Potential Theory<br/>25. Predictability, Compensation, and Excessive Functions<br/>26. Semimartingales and General Stochastic Integration<br/>27. Large Deviations
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-1-4757-4015-8?page=2#toc">https://link.springer.com/book/10.1007/978-1-4757-4015-8?page=2#toc</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Full call number Accession No. Koha item type
          ICTS Rack No 5 05/14/2018 QA273 01123 Book