Elementary Probability for Applications

Rick Durrett

Math 275 Course Info.

Click on a chapter title to download the PDF.

Chapter 1. Basic Concepts 3/10/08

1.1. Outcomes, Events, Probability
1.2. Flipping coins, the World Series
1.3. Independence
1.4. Distributions
1.5. Expected Value
1.6. Moments, Variance
1.7. Exercises

Chapter 2. Combinatorial Probability 1/27/08

2.1. Permutations and combinations
2.2. Binomial and multinomial distributions
2.3. Poisson approximation
2.4. Card games and other urn problems
2.5. Probabilities of unions, Joe DiMaggio's streak
2.6. Blackjack
2.7. Exercises

Chapter 3. Conditional Probability 1/28/08

3.1. Definition
3.2. Two-stage experiments
3.3. Bayes formula
3.4. Exercises

Chapter 4. Markov Chains 2/11/08

4.1. Definitions and examples
4.2. Multistep transition probabilities
4.3. Stationary distributions
4.4. Limit behavior
4.5. Gambler's ruin
4.6. Absrobing chains
4.7. Exercises

Chapter 5. Continuous Distributions 3/26/08

5.1. Density and distribution functions
5.2. Functions of random variables
5.3. Joint distributions
5.4. Marginal and condtitional distributions
5.5. Exercises

Chapter 6. Limit Theorems 3/21/08

6.1. Sums of independent random variables
6.2. Mean and variance of sums
6.3. Law of large numbers
6.4. Central limit theorem
6.5. Exercises

Chapter 7. Option pricing 4/22/08

7.1. Discrete time
7.2. Continuous time

Normal table


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