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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 is the 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.
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 is the 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.
Daniel Stroock has held positions at NYU, the University of Colorado, and MIT. In addition, he has visited and lectured at many universities throughout the world. He has authored several books on analysis and various aspects of probability theory and their application to partial differential equations and differential geometry.
Corrected and enlarged 2nd edition
Written by an expert
Includes new material
Includes supplementary material: [...]
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.
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Graduate Texts in Mathematics |
Inhalt: |
xvii
203 S. |
ISBN-13: | 9783662517826 |
ISBN-10: | 3662517825 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Stroock, Daniel W. |
Auflage: | Softcover reprint of the original 2nd ed. 2014 |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Graduate Texts in Mathematics |
Maße: | 235 x 155 x 13 mm |
Von/Mit: | Daniel W. Stroock |
Erscheinungsdatum: | 23.08.2016 |
Gewicht: | 0,347 kg |
Daniel Stroock has held positions at NYU, the University of Colorado, and MIT. In addition, he has visited and lectured at many universities throughout the world. He has authored several books on analysis and various aspects of probability theory and their application to partial differential equations and differential geometry.
Corrected and enlarged 2nd edition
Written by an expert
Includes new material
Includes supplementary material: [...]
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.
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Graduate Texts in Mathematics |
Inhalt: |
xvii
203 S. |
ISBN-13: | 9783662517826 |
ISBN-10: | 3662517825 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Stroock, Daniel W. |
Auflage: | Softcover reprint of the original 2nd ed. 2014 |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Graduate Texts in Mathematics |
Maße: | 235 x 155 x 13 mm |
Von/Mit: | Daniel W. Stroock |
Erscheinungsdatum: | 23.08.2016 |
Gewicht: | 0,347 kg |