本课程主要讲授以下内容: 1. Introduction to Probability a. Events, set theory and probability b. Basic relationships of probability c. Conditional probability d. Bayes’ Theorem 2. Discrete Probability Distributions a. Random variables b. Discrete probability distribution c. Low order statistical moments: mean and variance d. Special distributions: Binomial distributions 3. Continuous Probability Distributions a. Uniform Distribution b. Normal Distribution c. Approximation of distributions 4. Random Vectors and Large Random Samples a. Joint distributions, covariance, correlation, independence b. The law of large numbers c. The central limit theorem` 5. Markov Chain 6. Markov Chain Monte Carlo |