Prior information and variational Bayes in high dimensional statistical network inference

Author(s):
Kpogbezan, G.B.
Published
2018
Publication type
Doctoral Thesis

Abstract

This thesis develops statistical methods for the analysis

of high dimensional data: high dimensional networks reconstruction (Chapters

1-4), incorporation of prior information in networks reconstruction (Chapters

2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).

Networks reconstructionHigh dimensionalityPrior informationVariational BayesBayesian statistics
Defense date
2018-12-10
Language
English
Supervisor(s)
Vaart, A.W. van der; Wiel, M.A. van der
Advisor(s)
Wieringen, W.N. van
Committee member(s)
Meulman, J.; Goeman, J.J.; Pas, S.L. van der; Leday, G.G.R.
Qualification
Ph.D.
Degree granting institution
Mathematical institute, Faculty of Science, Leiden University, Leiden
hdl
1887/67526