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Document type:
Masterarbeit 
Author(s):
Tom Müller 
Title:
Knockoffs based on high-dimensional mixed graphical models 
Abstract:
In this thesis, we develop the combination of two concepts. The first one, the Model-X Framework is a set of results and algorithms related to variable selection in the supervised setting. By shifting the burden of assumptions from the response to the covariables, it guarantees finite sample False Discovery Rate (FDR) control in the high-dimensional case. The second coverage is the theory of conditional Gaussian distributions which serve as statistical models for associations between variables,...    »
 
Subject:
MAT Mathematik 
DDC:
510 Mathematik 
Advisor:
Mathias Drton 
Date of acceptation:
30.09.2020 
Year:
2020 
Quarter:
3. Quartal 
Year / month:
2020-09 
Month:
Sep 
Pages:
74 
Language:
en 
University:
Technische Universität München 
Faculty:
Fakultät für Mathematik 
TUM Institution:
Lehrstuhl für Mathematische Statistik 
Format:
Text