Probability Theory I Random Variables and Distributions /
This book provides a concise yet rigorous introduction to probability theory. Among the possible approaches to the subject, the most modern approach based on measure theory has been chosen: although it requires a higher degree of mathematical abstraction and sophistication, it is essential to provid...
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Vydání: | 1st ed. 2024. |
| Edice: | La Matematica per il 3+2,
165 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-63190-0 |
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Obsah:
- 1 Measures and probability spaces
- 2 Random variables
- 3 Sequences of random variables
- 4 Conditional probability
- 5 Summary exercises
- Appendix A: Dynkin’s theorems
- Appencix B: Absolute continuity
- Appendix C: Uniform integrability.