北京大学信息科学技术学院《概率论与数理统计》课件
 

部分内容如下：

Outline of topics
1 Introduction to Probability Theory
What is probability?
Requirements and notifications
Further readings of probability and statistics
Axioms and properties of probability
-field
Kolmogorov’s axioms for probability
Some properties of probability
Combinatorics in probability theory
2 Conditional Probability and Related Topics
Conditional probability
Bayes’ formula
Full probability formula
Understanding Bayes’ formula
Independent random events
 

1 The mathematics of probability theory and statistics.
2 Programming languages R (or S-PLUS), BUGS, etc.
3 UNIX-like operating systems, BSD family, GNU/Linux, etc.
4 Probability theory and statistics in practice: bioinformatics,
web information processing, natural language processing,
stock analysis, etc.
5 Grade: homework 30%, midsemester 30% and final test 40%.
6 Reasonable suggestions to the course are welcome. You may
send emails to yujs@pku.edu.cn or call 62765818.
7 The slides are freely available at http://icl.pku.edu.cn/yujs.
8 Contact with my assistants: Chuanxi TANG, Heng GUO, Xiao
CHEN, Mei CHEN.
Jiangsheng