# Exam Study Session Questions (2014)

From Computational Statistics Course Wiki

PCA - how much total variance is explained by principal components?

reduction - use SVD or just idea that we project onto v1?

Segment 19: Chi-Square Statistic

-- transformation law of probabilities

-- characteristic function of chi-square distribution

-- generalization of chi-square to non-independent data

how to get confidence intervals from chi-square values - do you rotate and scale first, or can you just use the Chisquare function to get the region?

hierarchical Bayesian models