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Course Info
Statistics for Applications

Resources

Assignments

18.650 (F16) Problem Set 1
18.650 (F16) Problem Set 10
18.650 (F16) Problem Set 11
18.650 (F16) Problem Set 2
18.650 (F16) Problem Set 3
18.650 (F16) Problem Set 4
18.650 (F16) Problem Set 5
18.650 (F16) Problem Set 6
18.650 (F16) Problem Set 7
18.650 (F16) Problem Set 8

Lecture Notes

18.650 (F16) Lecture 1: Introduction
18.650 (F16) Lecture 10: Generalized Linear Models (GLMs)
18.650 (F16) Lecture 2: Parametric Inference
18.650 (F16) Lecture 3: Maximum Likelihood Estimation
18.650 (F16) Lecture 4: The Method of Moments
18.650 (F16) Lecture 5: Parametric hypothesis testing
18.650 (F16) Lecture 6: Testing goodness of fit
18.650 (F16) Lecture 7: Regression
18.650 (F16) Lecture 8: Bayesian Statistics
18.650 (F16) Lecture 9: Principal Component Analysis (PCA)

Lecture Videos

Lecture 1: Introduction to Statistics
Lecture 11: Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
Lecture 12: Testing Goodness of Fit (cont.)
Lecture 13: Regression
Lecture 14: Regression (cont.)
Lecture 15: Regression (cont.)
Lecture 17: Bayesian Statistics
Lecture 18: Bayesian Statistics (cont.)
Lecture 19: Principal Component Analysis
Lecture 2: Introduction to Statistics (cont.)

Course Info

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notes Lecture Notes
theaters Lecture Videos
assignment Problem Sets