Book contents
- Frontmatter
- Contents
- Preface to the second edition
- Preface to the first edition
- Some frequently used notations
- 1 Measure theory and probability
- Solutions for Chapter 1
- 2 Independence and conditioning
- Solutions for Chapter 2
- 3 Gaussian variables
- Solutions for Chapter 3
- 4 Distributional computations
- Solutions for Chapter 4
- 5 Convergence of random variables
- Solutions for Chapter 5
- 6 Random processes
- Solutions for Chapter 6
- Where is the notion N discussed?
- Final suggestions: how to go further?
- References
- Index
Final suggestions: how to go further?
Published online by Cambridge University Press: 05 August 2012
- Frontmatter
- Contents
- Preface to the second edition
- Preface to the first edition
- Some frequently used notations
- 1 Measure theory and probability
- Solutions for Chapter 1
- 2 Independence and conditioning
- Solutions for Chapter 2
- 3 Gaussian variables
- Solutions for Chapter 3
- 4 Distributional computations
- Solutions for Chapter 4
- 5 Convergence of random variables
- Solutions for Chapter 5
- 6 Random processes
- Solutions for Chapter 6
- Where is the notion N discussed?
- Final suggestions: how to go further?
- References
- Index
Summary
- Type
- Chapter
- Information
- Exercises in ProbabilityA Guided Tour from Measure Theory to Random Processes, via Conditioning, pp. 269Publisher: Cambridge University PressPrint publication year: 2012