Links:
Weekly postings:
| Posted on/by | Reading | Homeworks | Due date | Basic problems |
| 2/24 | Sections 1.1-1.4 in the text. Handout "Events and probabilities" | Do some of Problems 1-7 up to 12 pts (extra points will not be counted) | 3/8 | Problems 1, 4, 5 |
| 3/2 | Sections 1.5-1.6 (skip the definition of "range" of a random variable) and Section 1.7.2 in the text. Handout "Random variables" | Do some of Problems 8-17 up to 12 pts (extra points will not be counted) | 3/15 | Problems 9, 10, 11, 13, 14, 15(a) |
| 3/9 | Sections 1.8 - 1.9 in the text. Handouts "Quantile and expectation" and "Some special expectations" (till Example 2) | Do some of Problems 18-25 up to 12 pts (extra points will not be counted) | 3/22 | Problems 18, 19, 20, 21, 22, 23(b), 25 |
| 3/16 | Sections 1.9 and 2.1 (till Example 2.1.1) in the text. Handouts "Some special expectations" and "Joint distribution of a vector of random variables" (till Example 4 ) | Do some of Problems 26-33 up to 16 pts (extra points will not be counted) | 3/29 | Problems 26,27,28,29,30(a)(b), 31,33 |
| 3/22 | Handouts "Joint distribution of a vector of random variables", "Expectation of g(X,Y)" and "Distribution of a transformed random vector" | Do some of Problems 34-38 up to 12 pts (extra points will not be counted) | 4/8 | Problems 35-38 |
| 3/29 | Section 2.3. Handout "Conditional distributions and expectations" (till Fact 2) | Do some of Problems 39-41 up to 16 pts (extra points will not be counted) | 4/12 | Problems 39-40 |
| 4/12,4/27 | Sections 2.3-2.7. Handouts "Conditional distributions and expectations", "Independent random variables", "Independence of two random vectors", and "Covariance and correlation" (till Example 3) | Do some of Problems 42-50 up to 16 pts (extra points will not be counted) | 5/10 | Problems 42-45, 47 |
| 5/4 | Handout "Covariance and correlation" | Do some of Problems 51-59 up to 14 pts (extra points will not be counted) | 5/17 | Problems 51-56, 58-59 |
| 5/11 | Sections 2.4-2.7. Handouts "Covariance and correlation" and "Multivariate normal distributions" (till the definition of best linear predictor for the multivariate case) | Do some of Problems 60-63 up to 9 pts (extra points will not be counted) | 5/24 | Problem 63(a) |
| 5/18 | Sections 3.5.1-3.5.2 (skip Theorem 3.5.4) Handout "Multivariate normal distributions" | Do some of Problems 64-65 up to 9 pts (extra points will not be counted) | 5/31 | Problem 64 |
| 5/25 | Handout "Estimation and types of convergence" (before Example 4) | Do some of Problems 66-70 up to 12 pts (extra points will not be counted) | 6/7 | Problems 66-68 |
| 6/1 | Handout "Estimation and types of convergence" (till Example 8) | Do some of Problems 71-75 up to 6 pts (extra points will not be counted) | 6/7 | Problems 71, 73, 74(a), 75 |
| 6/8 | Handout "Estimation and types of convergence" (till Example 10) |