Texas A&M University 3 credits MATH
Modern statistical methods used in risk modeling with a focus on actuarial applications. Topics include regression, time series, decision trees and unsupervised learning techniques, along with model selection and validation, emphasizing their use in analyzing and forecasting data in actuarial and financial contexts. Prerequisites: MATH 148, MATH 152, MATH 172, or equivalent; STAT 211 or MATH 411; junior or senior classification. Cross Listing: STAT 435/MATH 435.
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