TY  - JOUR
A1  - Geier, Christian
A1  - Lehnertz, Klaus
A1  - Bialonski, Stephan
T1  - Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing
JF  - Frontiers in Human Neuroscience
Y1  - 2015
U6  - https://doi.org/10.3389/fnhum.2015.00462
SN  - 1662-5161
PB  - Frontiers Research Foundation
CY  - Lausanne
ER  - 
TY  - JOUR
A1  - Geier, Christian
A1  - Bialonski, Stephan
A1  - Elger, Christian E.
A1  - Lehnertz, Klaus
T1  - How important is the seizure onset zone for seizure dynamics?
JF  - Seizure
Y1  - 2015
U6  - https://doi.org/10.1016/j.seizure.2014.10.013
SN  - 1059-1311
VL  - 25
SP  - 160
EP  - 166
ER  - 
TY  - JOUR
A1  - Baringhaus, Ludwig
A1  - Gaigall, Daniel
T1  - On an independence test approach to the goodness-of-fit problem
JF  - Journal of Multivariate Analysis
N2  - Let X₁,…,Xₙ be independent and identically distributed random variables with distribution F. Assuming that there are measurable functions f:R²→R and g:R²→R characterizing a family F of distributions on the Borel sets of R in the way that the random variables f(X₁,X₂),g(X₁,X₂) are independent, if and only if F∈F, we propose to treat the testing problem H:F∈F,K:F∉F by applying a consistent nonparametric independence test to the bivariate sample variables (f(Xᵢ,Xⱼ),g(Xᵢ,Xⱼ)),1⩽i,j⩽n,i≠j. A parametric bootstrap procedure needed to get critical values is shown to work. The consistency of the test is discussed. The power performance of the procedure is compared with that of the classical tests of Kolmogorov–Smirnov and Cramér–von Mises in the special cases where F is the family of gamma distributions or the family of inverse Gaussian distributions.
KW  - Goodness-of-fit test
KW  - Independence test
KW  - Parametric bootstrap
KW  - Vapnik–Čhervonenkis class
KW  - Gamma distribution
Y1  - 2015
U6  - https://doi.org/10.1016/j.jmva.2015.05.013
SN  - 0047-259X
VL  - 2015
IS  - 140
SP  - 193
EP  - 208
PB  - Elsevier
CY  - Amsterdam
ER  -