2019•University of Minnesota Digital Conservancy (University of Minnesota)Requires access

Model Selection and Estimation for High-dimensional Data Analysis

Chenglong Ye

Open publisher page 1 citations

Abstract

University of Minnesota Ph.D. dissertation. June 2019. Major: Statistics. Advisor: Yuhong Yang. 1 computer file (PDF); viii, 139 pages.

About this research paper

What this paper is about

University of Minnesota Ph.D. dissertation. June 2019. Major: Statistics. Advisor: Yuhong Yang. 1 computer file (PDF); viii, 139 pages.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

University of Minnesota Ph.D. dissertation. June 2019. Major: Statistics. Advisor: Yuhong Yang. 1 computer file (PDF); viii, 139 pages.

Key concepts: Estimation, Selection (genetic algorithm), Computer science, High dimensional, Data science, Statistics, Data mining, Econometrics

Related papers

Back to paper searchBrowse research topicsOriginal source
Model Selection and Estimation for High-dimensional Data Analysis — Research Paper | ScholarLens