The Problem sets are due one week after they are handed out.
LEC # | TOPICS | KEY DATES |
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1 |
Estimation Theory Introduction |
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2 | Some Probability Distributions | Problem set 1 out |
3 | Method of Moments | |
4 | Maximum Likelihood Estimators | Problem set 2 out |
5 | Consistency of MLE Asymptotic Normality of MLE, Fisher Information |
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6 | Rao-Crámer Inequality | |
7 | Efficient Estimators | Problem set 3 out |
8 | Gamma Distribution Beta Distribution |
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9 | Prior and Posterior Distributions | |
10 | Bayes Estimators Conjugate Prior Distributions |
Problem set 4 out |
11 | Sufficient Statistic | |
12 | Jointly Sufficient Statistics Improving Estimators Using Sufficient Statistics, Rao-Blackwell Theorem |
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13 | Minimal Jointly Sufficient Statistics χ2 Distribution |
Problem set 5 out |
14 | Estimates of Parameters of Normal Distribution | |
15 | Orthogonal Transformation of Standard Normal Sample | |
16 | Fisher and Student Distributions | |
17 | Confidence Intervals for Parameters of Normal Distribution | |
18 |
Testing Hypotheses Testing Simple Hypotheses Bayes Decision Rules |
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19 | Most Powerful Test for Two Simple Hypotheses | Problem set 6 out |
20 | Randomized Most Powerful Test Composite Hypotheses, Uniformly Most Powerful Test |
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21 | Monotone Likelihood Ratio One Sided Hypotheses |
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22 | One Sided Hypotheses (cont.) | Problem set 7 out |
23 | Pearson's Theorem | |
24 | Goodness-of-Fit Test Goodness-of-Fit Test for Continuous Distribution |
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25 | Goodness-of-Fit Test for Composite Hypotheses | |
26 | Test of Independence | |
27 | Test of Homogeneity | Problem set 8 out |
28 | Kolmogorov-Smirnov Test | |
29 |
Simple Linear Regression Method of Least Squares Simple Linear Regression |
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30 | Joint Distribution of the Estimates | |
31 | Statistical Inference in Simple Linear Regression | Problem set 9 out |
32 | Classification Problem |