‪Dominik Müller‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	72	54
h-index	4	3
i10-index	3	3

0

16

8

201720182019202020212022202320242 11 16 4 10 12 6 6

Public access

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Claudia CzadoAssociate Professor for Applied Mathematical StatisticsVerified email at ma.tum.de
Thomas NaglerLMU Munich, Munich Center for Machine LearningVerified email at lmu.de

Dominik Müller

Dominik Müller

Technische Universität München

Verified email at ma.tum.de

Mathematische Statistik Vine Copulas DAGs


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Representing sparse Gaussian DAGs as sparse R-vines allowing for non-Gaussian dependence D Müller, C Czado Journal of Computational and Graphical Statistics 27 (2), 334-344, 2018	24	2018
Dependence modelling in ultra high dimensions with vine copulas and the Graphical Lasso D Müller, C Czado Computational statistics & data analysis 137, 211-232, 2019	23	2019
Selection of sparse vine copulas in high dimensions with the lasso D Müller, C Czado Statistics and Computing 29 (2), 269-287, 2019	21	2019
Selection of Sparse Vine Copulas in Ultra High Dimensions DT Müller Technische Universität München, 2017	4	2017
Dependence Modelling in Ultra High Dimensions with Vine Copulas C Czado, D Müller, T Nagler		2018
Verteilungsapproximationen für Likelihood-Quotienten-Tests in normalen linearen ADG-Modelle D Müller		2010
Discrete Models, Graphical Gaussian Models and Mixed Models D Müller		2008

The system can't perform the operation now. Try again later.

Articles 1–7