Empirical Bayes applications in biomedical high-dimensional prediction

Author(s):
Münch, M.M.
Published
2021
Publication type
Doctoral Thesis

Abstract

The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation. Several applications show that the proposed methods are competitive to existing methods.

Empirical BayesVariational BayesHigh-dimensional predictionOmics data
Defense date
2021-10-21
Language
English
Supervisor(s)
Wiel, M.A. van de; Vaart, A.W. van der
Advisor(s)
Peeters, C.F.W.
Committee member(s)
Houwing-Duistermaat, J.J.; Richardson, S.; Mertens, B.J.A.; Szabó, B.; Edixhoven, S.J.; Duijn Schouten, F.A. van der
Qualification
Ph.D.
Degree granting institution
Mathematical Institute (MI), Faculty of Science, Leiden University, Leiden
hdl
1887/3217788