Lecture Notes for BST631 - Fall Semester 2008
Syllabus
Lecture Notes
- Lecture 01 : Set Theory, Basic Probability Theory
- Lecture 02 : Basic Probability Theory
- Lecture 03 : Conditional Probability and Independence
- Lecture 04 : Random Variables, Distribution Functions, Mass and Density Functions
- Lecture 05 : Distributions of Functions of a Random Variable
- Lecture 06 : Expected Values, Moments and Moment Generating Functions
- Lecture 07 : Moments and Moment Generating Functions, Differentiating Under an Integral Sign
- Lecture 08 : Discrete Distributions
- Lecture 09 : Continuous Distributions
- Lecture 10 : Exponential Families, Location and Scale Families
- Lecture 11 : Joint and Marginal Distributions, Conditional Distributions and Independence
- Lecture 12 : Bivariate Transformations
- Lecture 13 : Hierarchical Models and Mixture Distributions, Multivariate Distributions
- Lecture 14 : Basic Concepts of Random Samples, Sums of Random Variables from a Random Sample, Sums of Random Variables from a Random Sample
- Lecture 15 : Sampling from the Normal Distribution, Statistics
- Lecture 16 : Convergence Concepts
- Review Lecture 1 : Review for Chapter 1 and 2
- Review Lecture 2 : Review for Chapter 3, 4, and 5
Homework
Exams
Created Date: May 01, 2009
Last Updated Date: March 15, 2012
Contact the Lecturer:
Kui Zhang, Ph.D.
Section on Statistical Genetics
Department of Biostatistics
University of Alabama at Birmingham
Birmingham, AL, 35294
(205) 996-4094 (phone)
(205) 975-2540 (fax)
Email: kzhang@ms.soph.uab.edu