Dec 07, 2023  
2019-2020 Graduate Catalog 
2019-2020 Graduate Catalog [ARCHIVED CATALOG]

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STAT 905 - High-Dimensional Data and Statistical Learning

Credits: 3

Theoretical framework of statistical methods for the analysis of large-scale data with the aim of understanding data mining, supervised and unsupervised statistical learning techniques from a statistical decision theoretic framework. Methods for model selection, dimensionality reduction, multiple testing control, and estimation in high-dimension data. Emphasis on the conceptual underpinning of different tools for analysis of large-scale data and how they relate to each other. Applications in various fields, including the sciences and engineering, using computer software.

Prerequisite: (STAT 713 and STAT 771), or (STAT 727 and STAT 760).

Typically Offered
Fall, even years

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