| L01 |
Introduction and adminstration |
|
| L02 |
What is a model |
|
| L03 |
Data distributions |
Notes
on product of Gaussians |
| L04 |
Statistics |
|
| L05 |
Robust statistics and outliers |
|
| L06 |
Comparing data |
|
| L07 |
Probability |
|
| L08 |
Densities |
|
| L09 |
Conidtional probability |
|
| L10 |
Random Variables I |
|
| L11 |
Random Variables II |
|
| L12 |
Sampling processes |
|
| L13 |
Examples I |
|
| L14 |
Examples II |
|
| L15 |
Baysian inference |
|
| L16 |
Estimators |
|
| L17 |
Point Estimators |
|
| L18 |
Confidence Intervals |
New version replaced on 28 April 2008 |
| L19 |
Summary |
|
| L20 |
Joint distiributions, Marginals |
|
| L21 |
Conditional Densities |
|
| L22 |
Covariance, Functions of RVs |
|
| L23 |
Scatter plots, Correlation |
|
| L24 |
Linear Regression |
|
| L25 |
Sampling Distributions for Regression |
|
| L26 |
Time-series non-linear models |
|
| L27 |
High dimensional regression |
|
|
|
|
No lecture 28 in 2008. |
| L29 |
Significance testing |
|
| L30 |
Power and decisioin theory. |
|
| L31 |
t-tests |
|
| L32 |
Two sample t-tests |
|
| L33 |
Chi-distributions and F-tests |
|
| L34 |
Summary |
|
