An introduction to Markov processes:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
[2014]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Graduate texts in mathematics
230 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FRO01 TUM01 UBA01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (xvii, 203 Seiten) |
| ISBN: | 9783642405235 |
| DOI: | 10.1007/978-3-642-40523-5 |
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Datensatz im Suchindex
| _version_ | 1804151828541079552 |
|---|---|
| adam_text | AN INTRODUCTION TO MARKOV PROCESSES
/ STROOCK, DANIEL W.
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PREFACE
RANDOM WALKS, A GOOD PLACE TO BEGIN
DOEBLIN S THEORY FOR MARKOV CHAINS
STATIONARY PROBABILITIES
MORE ABOUT THE ERGODIC THEORY OF MARKOV CHAINS
MARKOV PROCESSES IN CONTINUOUS TIME
REVERSIBLE MARKOV PROCESSES
A MINIMAL INTRODUCTION TO MEASURE THEORY
NOTATION
REFERENCES
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
AN INTRODUCTION TO MARKOV PROCESSES
/ STROOCK, DANIEL W.
: 2014
ABSTRACT / INHALTSTEXT
THIS BOOK PROVIDES A RIGOROUS BUT ELEMENTARY INTRODUCTION TO THE THEORY
OF MARKOV PROCESSES ON A COUNTABLE STATE SPACE. IT SHOULD BE ACCESSIBLE
TO STUDENTS WITH A SOLID UNDERGRADUATE BACKGROUND IN MATHEMATICS,
INCLUDING STUDENTS FROM ENGINEERING, ECONOMICS, PHYSICS, AND BIOLOGY.
TOPICS COVERED ARE: DOEBLIN S THEORY, GENERAL ERGODIC PROPERTIES, AND
CONTINUOUS TIME PROCESSES.APPLICATIONS ARE DISPERSED THROUGHOUT THE
BOOK. IN ADDITION, A WHOLE CHAPTER IS DEVOTED TO REVERSIBLE PROCESSES
AND THE USE OF THEIR ASSOCIATED DIRICHLET FORMS TO ESTIMATE THE RATE OF
CONVERGENCE TO EQUILIBRIUM. THESE RESULTS ARE THEN APPLIED TO THE
ANALYSIS OF THE METROPOLIS (A.K.A SIMULATED ANNEALING) ALGORITHM. THE
CORRECTED AND ENLARGED 2ND EDITION CONTAINS A NEW CHAPTER IN WHICH THE
AUTHOR DEVELOPS COMPUTATIONAL METHODS FOR MARKOV CHAINS ON A FINITE
STATE SPACE. MOST INTRIGUING ISTHE SECTION WITH A NEW TECHNIQUE FOR
COMPUTING STATIONARY MEASURES, WHICH IS APPLIED TO DERIVATIONS OF
WILSON S ALGORITHM AND KIRCHOFF S FORMULA FOR SPANNING TREES IN A
CONNECTED GRAPH
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
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| spelling | Stroock, Daniel W. 1940- Verfasser (DE-588)130519561 aut An introduction to Markov processes Daniel W. Stroock Second edition Berlin ; Heidelberg Springer [2014] © 2014 1 Online-Ressource (xvii, 203 Seiten) txt rdacontent c rdamedia cr rdacarrier Graduate texts in mathematics 230 Markov-Prozess Markov processes Markov-Prozess (DE-588)4134948-9 gnd rswk-swf Markov-Prozess (DE-588)4134948-9 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-3-642-40522-8 Erscheint auch als Druck-Ausgabe, Paperback 978-3-662-51782-6 Graduate texts in mathematics 230 (DE-604)BV035421258 230 https://doi.org/10.1007/978-3-642-40523-5 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027060048&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027060048&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Stroock, Daniel W. 1940- An introduction to Markov processes Graduate texts in mathematics Markov-Prozess Markov processes Markov-Prozess (DE-588)4134948-9 gnd |
| subject_GND | (DE-588)4134948-9 |
| title | An introduction to Markov processes |
| title_auth | An introduction to Markov processes |
| title_exact_search | An introduction to Markov processes |
| title_full | An introduction to Markov processes Daniel W. Stroock |
| title_fullStr | An introduction to Markov processes Daniel W. Stroock |
| title_full_unstemmed | An introduction to Markov processes Daniel W. Stroock |
| title_short | An introduction to Markov processes |
| title_sort | an introduction to markov processes |
| topic | Markov-Prozess Markov processes Markov-Prozess (DE-588)4134948-9 gnd |
| topic_facet | Markov-Prozess Markov processes |
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