Exercises in probability a guided tour from measure theory to random processes, via conditioning
Derived from extensive teaching experience in Paris, this second edition now includes over 100 exercises in probability. New exercises have been added to reflect important areas of current research in probability theory, including infinite divisibility of stochastic processes, past-future martingale...
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| Format: | E-Book |
| Sprache: | English |
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Cambridge
Cambridge University Press
2012
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| Ausgabe: | Second edition. |
| Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics
35 |
| Online-Zugang: | Volltext |
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| 520 | |a Derived from extensive teaching experience in Paris, this second edition now includes over 100 exercises in probability. New exercises have been added to reflect important areas of current research in probability theory, including infinite divisibility of stochastic processes, past-future martingales and fluctuation theory. For each exercise the authors provide detailed solutions as well as references for preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory. | ||
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| spelling | Chaumont, L. Exercises in probability a guided tour from measure theory to random processes, via conditioning Loïc Chaumont, Marc Yor Second edition. Cambridge Cambridge University Press 2012 1 Online-Ressource (xx, 279 Seiten) txt c cr Cambridge series on statistical and probabilistic mathematics 35 Derived from extensive teaching experience in Paris, this second edition now includes over 100 exercises in probability. New exercises have been added to reflect important areas of current research in probability theory, including infinite divisibility of stochastic processes, past-future martingales and fluctuation theory. For each exercise the authors provide detailed solutions as well as references for preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory. Yor, Marc Erscheint auch als Druck-Ausgabe 9781107606555 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9781139135351 Volltext |
| spellingShingle | Chaumont, L. Exercises in probability a guided tour from measure theory to random processes, via conditioning |
| title | Exercises in probability a guided tour from measure theory to random processes, via conditioning |
| title_auth | Exercises in probability a guided tour from measure theory to random processes, via conditioning |
| title_exact_search | Exercises in probability a guided tour from measure theory to random processes, via conditioning |
| title_full | Exercises in probability a guided tour from measure theory to random processes, via conditioning Loïc Chaumont, Marc Yor |
| title_fullStr | Exercises in probability a guided tour from measure theory to random processes, via conditioning Loïc Chaumont, Marc Yor |
| title_full_unstemmed | Exercises in probability a guided tour from measure theory to random processes, via conditioning Loïc Chaumont, Marc Yor |
| title_short | Exercises in probability |
| title_sort | exercises in probability a guided tour from measure theory to random processes via conditioning |
| title_sub | a guided tour from measure theory to random processes, via conditioning |
| url | https://doi.org/10.1017/CBO9781139135351 |
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