|
Mar 26, 2023
|
|
|
|
STAT 905 - High-Dimensional Data and Statistical LearningCredits: 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.
Requisites: Prerequisite: (STAT 713 and STAT 771), or (STAT 727 and STAT 760).
Typically Offered Fall, even years
View the Fall 2022 Course Schedule
View the Spring 2022 Course Schedule
View the Summer 2021 Course Schedule
Add to Portfolio (opens a new window)
|
|