activity
20042025
most citedLevel crossings and other level functionals of stationary Gaussian processes

83 citations · 127 across the 25 of their papers we have counts for

collaborators
Showing math.STShow all

6 papers · 1 filter

math.ST2023★ 1 cited

Extremal behaviour and convergence rates for sample--based geometric quantiles and half space depths

Sibsankar Singha, Marie Kratz, Sreekar Vadlamani

We consider the empirical versions of geometric quantile and halfspace depth, and study their extremal behaviour as a function of the sample size. The objective of this study is to…

math.ST2023

On the relation between extremal dependence and concomitants

Amir Khorrami Chokami, Marie Kratz

The study of concomitants has recently met a renewed interest due to its applications in selection procedures. For instance, concomitants are used in ranked-set sampling, to achiev…

math.ST2021

Joint FCLT for Sample Quantile and Measures of Dispersion for Functionals of Mixing Processes

Marcel Bräutigam, Marie Kratz

In this paper, we establish a joint (bivariate) functional central limit theorem of the sample quantile and the -th absolute centred sample moment for functionals of mixing proc…

math.ST2021★ 1 cited

Multi-Normex Distributions for the Sum of Random Vectors. Rates of Convergence

Marie Kratz, Evgeny Prokopenko

We build a sharp approximation of the whole distribution of the sum of iid heavy-tailed random vectors, combining mean and extreme behaviors. It extends the so-called 'normex' appr…

math.ST2019

Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH(,) processes

Marcel Bräutigam, Marie Kratz

In this paper, we build upon the asymptotic theory for GARCH processes, considering the general class of augmented GARCH(, ) processes. Our contribution is to complement the…

math.ST2019★ 3 cited

On the Dependence between Functions of Quantile and Dispersion Estimators

Marcel Bräutigam, Marie Kratz

In this paper, we derive the joint asymptotic distributions of functions of quantile estimators (the non-parametric sample quantile and the parametric location-scale quantile estim…