File(s) under embargo

1

year(s)

7

month(s)

18

day(s)

until file(s) become available

High Dimension Prediction

thesis
posted on 01.12.2020, 00:00 by Rachel Katherine Nordgren
Prediction methods may be high dimension in either outcome or covariate matrix. Here we examine shrinkage methods for multivariate prediction, multivariate calibration, and penalized regression for a single outcome with a large number of covariates--we motivate this section with microbiome data.

History

Advisor

Bhaumik, Dulal

Chair

Bhaumik, Dulal

Department

Public Health Sciences-Biostatistics

Degree Grantor

University of Illinois at Chicago

Degree Level

Doctoral

Degree name

PhD, Doctor of Philosophy

Committee Member

Mehta, Supriya Berbaum, Michael Green, Stefan Hedeker, Donald

Submitted date

December 2020

Thesis type

application/pdf

Language

en

Exports

Categories

Exports