Here are the slides (typed up computer presentation). These are subject to revision as the course goes along.
- s1.pdf first deck of slides (PDF): Probability and Expectation on Finite Sample Spaces
- s2.pdf second deck of slides (PDF): Axioms for Probability and Expectation, Consequences of Linearity of Expectation, Random Vectors, Time Series, Laws of Large Numbers, Bernoulli, Binomial, Hypergeometric, and Discrete Uniform Distributions
- s3.pdf third deck of slides (PDF): Probability and Expectation on Infinite Sample Spaces, Poisson, Geometric, Negative Binomial, Continuous Uniform, Exponential, Gamma, Beta, Normal, and Chi-Square Distributions
- s4.pdf fourth deck of slides (PDF): Quantiles and Best Prediction
- s5.pdf fifth deck of slides (PDF): Conditional Probability and Expectation, Poisson Process, Multinomial and Multivariate Normal Distributions
- s6.pdf sixth deck of slides (PDF): Existence of Integrals and Infinite Sums, Countable Additivity and Monotone Convergence, Existence of Moments, Correlation
- s7.pdf seventh deck of slides (PDF): Asymptotics, also called Large Sample Theory
- s8.pdf eighth deck of slides (PDF): Dirichlet Distribution
