↓ Skip to main content
What is this page? Embed badge

Probability Theory : An Introductory Course

Overview of attention for book
Cover of 'Probability Theory : An Introductory Course'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Probability Spaces and Random Variables
  3. Altmetric Badge
    Chapter 2 Independent Identical Trials and the Law of Large Numbers
  4. Altmetric Badge
    Chapter 3 De Moivre-Laplace and Poisson Limit Theorems
  5. Altmetric Badge
    Chapter 4 Conditional Probability and Independence
  6. Altmetric Badge
    Chapter 5 Markov Chains
  7. Altmetric Badge
    Chapter 6 Random Walks on the Lattice ℤ d
  8. Altmetric Badge
    Chapter 7 Branching Processes
  9. Altmetric Badge
    Chapter 8 Conditional Probabilities and Expectations
  10. Altmetric Badge
    Chapter 9 Multivariate Normal Distributions
  11. Altmetric Badge
    Chapter 10 The Problem of Percolation
  12. Altmetric Badge
    Chapter 11 Distribution Functions, Lebesgue Integrals and Mathematical Expectation
  13. Altmetric Badge
    Chapter 12 General Definition of Independent Random Variables and Laws of Large Numbers
  14. Altmetric Badge
    Chapter 13 Weak Convergence of Probability Measures on the Line and Helly’s Theorems
  15. Altmetric Badge
    Chapter 14 Characteristic Functions
  16. Altmetric Badge
    Chapter 15 Central Limit Theorem for Sums of Independent Random Variables
  17. Altmetric Badge
    Chapter 16 Probabilities of Large Deviations
Attention for Chapter 5: Markov Chains
Altmetric Badge

Citations

dimensions_citation
30 Dimensions
Summary Dimensions citations
So far, Dimensions has found 30 publications that cite this research output.

30

The most recent citing publications are shown below. View all 30 publications that cite this research output on Dimensions.

This page shows the most recent citations of this research output.

Click here to find out how to access more activity.

This page is provided by Altmetric.