Probability : theory and examples / Rick Durrett (Duke University, Durham, North Carolina).
This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. Concentrating on results that are the most useful for applications, this comprehensive treatment is...
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| Online Access: |
Full Text (via Cambridge) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge ; New York, NY :
Cambridge University Press,
2019.
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| Edition: | Fifth edition. |
| Series: | Cambridge series on statistical and probabilistic mathematics ;
49. |
| Subjects: |