Covers techniques for smoothing and classification including spline models, kernel methods, generalized additive models, and the averaging of multiple models. Describes measures of predictive performance, along with methods for balancing bias and variance. Prerequisites: either STAT 502 and STAT 504 or BIOST 514 and BIOST 515. Offered: jointly with STAT 527; Spring