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High-dimensional data analysis
Project funded by own resources
Project title High-dimensional data analysis
Principal Investigator(s) Kleiber, Christian
Project Members Huynh, Kevin
Bauer, Jan
Organisation / Research unit Departement Wirtschaftswissenschaften / Ökonometrie und Statistik (Kleiber)
Project start 01.09.2021
Probable end 31.12.2025
Status Active
Abstract

The advent of 'big data' has led to new developments in classical areas of multivariate statistics as well as in settings where the number of variables exceeds the sample size. We are interested in methods for dimension reduction, clustering, etc and their applications in economics, finance and business.

Keywords cluster analysis, covariance matrix estimation, dimension reduction
Financed by University funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
4656562  Huynh, Kevin; Lenhard, Gregor  Asymmetric Autoencoders for Factor-Based Covariance Matrix Estimation  9781450393768    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
4694097  Bauer, Jan; Drabant, Bernhard  Regression based thresholds in principal loading analysis    Journal of Multivariate Analysis  Publication: JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) 
   

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19/04/2024