Temple University 3 credits AS
This course continues the discussion of AS 3504. Statistical analysis has become part of the modern actuary's day-to-day responsibilities as they help improve solutions to traditional actuarial problems and quantify insurance operations and business processes that have traditionally relied largely on managers' judgment. Topics to be covered include: ridge regression, LASSO regression, weighted/partial least squares models, KNN regression, stochastic time series processes, common time series models including predictions, confidence intervals, and interpretation, principal components analysis, decision trees, including classification trees, bagging, boosting, and random forests, k-means and hierarchical clustering, and simulation. The course will further develop students' programming skills in data analytics.
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