Refresher notes on basic probability and statistics.

Basic R.

Linear model review

Logistic Regression.

More Linear Models.

Generalized linear models.

Generalized additive models.

Dealing with heterogeneity.

Tree models.

Multilevel models.

Causal inference (Prof. Sobel).

Time series.

Text mining.

Survival Analysis.


Last Year's Notes

More Linear Models and R examples.

Measuring peformance of binary classifiers.

Temporal corelation in regression.

Spatial correlation in regresion.

Nonparametrics (Elizabeth Newton).

Clustering.

Larry Wasserman's regression lecture notes.