STAT 905 - High-Dimensional Data and Statistical Learning

Credits: 3

Statistical methods for the analysis of large scale data. Data mining, supervised and unsupervised statistical learning techniques for prediction and pattern recognition. Methods for model selection, multiple testing control, and estimation in high-dimensions. Applications in various fields, including the sciences and engineering using computer software.

Requisites:
Prerequisite: STAT 713 and STAT 771, plus one introductory course in statistical computing (e.g. STAT 726 or equivalent background).

Typically Offered
Fall, even years

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Kansas State University

Course Catalog

STAT 905 - High-Dimensional Data and Statistical Learning