Readings and Assignments:
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Date | Topic |
References |
Handouts |
Assignments |
1/13 | Introduction to Linear Models |
C: Chapter 1, Appendix A & B |
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1/18 | Random Vectors, Matrices Multivariate Normal Distribution Theory |
C: Chapter 1, Appendix A & B |
Ex: 1.1 - 1.5 (due next class) |
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1/20 | Multivariate Normal Distribution Theory |
C: Chapter 1 Appendix B and C |
1.5.1, 1.5.2, A.2, A.6, A.7, A.9, A.14, | |
1/25 | Conditional Normal Distributions (cont) Spectral and Singular Value Decompositions Quadratic Forms |
C: Appendix C |
B.9, B.10 (you may use the eigen() function in R), | |
1/27 | Distributions of Quadratic Forms Orthogonal Projections |
C:Appendix C |
B.12, B.13, B.20, 1.9, 1.10, 1.11 | |
2/1 | More Distributional Results |
Casella & Berger 166, Chapter 5 |
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2/3 | Estimation Maximum Likelihood/Least Squares |
C: Chapter 2 |
1.5.8, 2.1, 2.2, 2.3, 2.5, 2.10.1, 2.10.4, 2.10.5 | |
2/8 | Generalized Least Squares |
C: Chapter 2 |
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2/10 | Likelihood Ratio Tests |
C: Chapter 3 |
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2/15 | One-Way Anova |
C: Chapter 4 |
4.1, 4.2, 4.3, 4.4, 4.5,4.6, 4.7,4.8, 4.3.2 Exercise 6.22 from Statistcal Sleuth |
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2/17 | Contrasts & AOV | C: Chapter 4 |
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2/22 | Multiple Regression |
C: Chapter 6 |
6.1, 6.8.3, 6.8.4, 6.8.5, 6.9, Exercise 8.24 from Statistical Sleuth | |
2/24 | Lack of Fit : Model Comparison Two-Way Anova |
C. Chapter 6.6 C: Chapter 7 |
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3/1 | Checking Assumptions |
C. Chapter 13 |
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3/3 | Influence & Outliers |
C. Chapter 13 |
13.2, 13.6, 13.7, 13.8, 13.9 Exercise 11.23 from Statistical Sleuth | |
3/8 | Transformations |
C. Chapter 13 |
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3/10 |
C. Chapter 14 |
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3/22 | Midterm |
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3/24 | Variable Selection |
C. Chapter 14 |
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3/29 | Variable Selection |
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4/1 | Variable Selection |
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4/6 | Ridge Regression |
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4/8 | Bayesian Regression | C: Chapter 2 |
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4/7 | Bayesian Regression | |||
4/12 | Bayesian Model Choice/Averaging |
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4/14 | Bayesian Model Choice/Averaging | BMA chapter from Press |
14.1, 14.2, 14.3 14.4, 14.5, 14.6, 14.8, 14.9, 14.10 Exercises from BMA chapter |
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TBA
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Statistical Science article on Model Uncertainty |