activity
19992022
most citedStochastic monotonicity and the Markov product for copulas

7 citations · 15 across the 8 of their papers we have counts for

collaborators

9 papers

math.PR2022

Multivariate tail dependence and local stochastic dominance

Karl Friedrich Siburg, Christopher Strothmann

Given two multivariate copulas with corresponding tail dependence functions, we investigate the relation between a natural tail dependence ordering and the order $\leq…

q-fin.RM2022

Comparing and quantifying tail dependence

Karl Friedrich Siburg, Christopher Strothmann, Gregor Weiß

We introduce a new stochastic order for the tail dependence between random variables. We then study different measures of tail dependence which are monotone in the proposed order,…

math.ST2022★ 1 cited

Rearranged dependence measures

Christopher Strothmann, Holger Dette, Karl Friedrich Siburg

Most of the popular dependence measures for two random variables and (such as Pearson's and Spearman's correlation, Kendall's and Gini's ) vanish whenever and $Y…

math.PR2020★ 7 cited

Stochastic monotonicity and the Markov product for copulas

Karl Friedrich Siburg, Christopher Strothmann

Given two random variables and , stochastic monotonicity describes a monotone influence of on . We prove two different characterizations of stochastically monotone $2…

math.ST2020★ 1 cited

A Markov product for tail dependence functions

Karl Friedrich Siburg, Christopher Strothmann

We introduce a Markov product structure for multivariate tail dependence functions, building upon the well-known Markov product for copulas. We investigate algebraic and monotonici…

math.DS2016

Minimizing length of billiard trajectories in hyperbolic polygons

John R. Parker, Norbert Peyerimhoff, Karl Friedrich Siburg

Closed billiard trajectories in a polygon in the hyperbolic plane can be coded by the order in which they hit the sides of the polygon. In this paper, we consider the average lengt…