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Probability Theory
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Discrete Spaces of Elementary Events
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Chapter 2
An Arbitrary Space of Elementary Events
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Chapter 3
Random Variables and Distribution Functions
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Chapter 4
Numerical Characteristics of Random Variables
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Chapter 5
Sequences of Independent Trials with Two Outcomes
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Chapter 6
On Convergence of Random Variables and Distributions
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Chapter 7
Characteristic Functions
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Chapter 8
Sequences of Independent Random Variables. Limit Theorems
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Chapter 9
Large Deviation Probabilities for Sums of Independent Random Variables
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Chapter 10
Renewal Processes
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Chapter 11
Properties of the Trajectories of Random Walks. Zero-One Laws
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Chapter 12
Random Walks and Factorisation Identities
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Chapter 13
Sequences of Dependent Trials. Markov Chains
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Chapter 14
Information and Entropy
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Chapter 15
Martingales
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Chapter 16
Stationary Sequences
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Chapter 17
Stochastic Recursive Sequences
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Chapter 18
Continuous Time Random Processes
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Chapter 19
Processes with Independent Increments
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Chapter 20
Functional Limit Theorems
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Chapter 21
Markov Processes
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Chapter 22
Processes with Finite Second Moments. Gaussian Processes
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
twitter
10
X users
syllabi
1
institution with syllabi
wikipedia
4
Wikipedia pages
q&a
1
Q&A thread
Citations
dimensions_citation
102
Dimensions
Readers on
mendeley
34
Mendeley
Book overview
1. Discrete Spaces of Elementary Events
2. An Arbitrary Space of Elementary Events
3. Random Variables and Distribution Functions
4. Numerical Characteristics of Random Variables
5. Sequences of Independent Trials with Two Outcomes
6. On Convergence of Random Variables and Distributions
7. Characteristic Functions
8. Sequences of Independent Random Variables. Limit Theorems
9. Large Deviation Probabilities for Sums of Independent Random Variables
10. Renewal Processes
11. Properties of the Trajectories of Random Walks. Zero-One Laws
12. Random Walks and Factorisation Identities
13. Sequences of Dependent Trials. Markov Chains
14. Information and Entropy
15. Martingales
16. Stationary Sequences
17. Stochastic Recursive Sequences
18. Continuous Time Random Processes
19. Processes with Independent Increments
20. Functional Limit Theorems
21. Markov Processes
22. Processes with Finite Second Moments. Gaussian Processes
Summary
Blogs
X
Syllabi
Wikipedia
Q&A
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
3
Unknown