6 citations · 10 across the 6 of their papers we have counts for
7 papers
Common Drivers in Sparsely Interacting Hawkes Processes
Alexander Kreiss, Alexander Fuchs-Kreiss, Enno Mammen +1
We study a multivariate Hawkes process as a model for time-continuous relational event networks. The model does not assume the network to be known, it includes covariates, and it a…
Estimating Average Treatment Effects in Regression Discontinuity Designs with Covariates under Minimal Assumptions
Patrick Kramer, Alexander Kreiß
We study regression discontinuity designs with the use of additional covariates for estimation of the average treatment effect. We provide a detailed proof of asymptotic normality…
Inference in Regression Discontinuity Designs with High-Dimensional Covariates
Alexander Kreiß, Christoph Rothe
We study regression discontinuity designs in which many predetermined covariates, possibly much more than the number of observations, can be used to increase the precision of treat…
Testing For Global Covariate Effects in Dynamic Interaction Event Networks
Alexander Kreiss, Enno Mammen, Wolfgang Polonik
In statistical network analysis it is common to observe so called interaction data. Such data is characterized by actors forming the vertices and interacting along edges of the net…
Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
Alexander Kreiss, Ingrid Van Keilegom
In epidemics many interesting quantities, like the reproduction number, depend on the incubation period (time from infection to symptom onset) and/or the generation time (time unti…
Correlation bounds, mixing and m-dependence under random time-varying network distances with an application to Cox-Processes
Alexander Kreiss
We will consider multivariate stochastic processes indexed either by vertices or pairs of vertices of a dynamic network. Under a dynamic network we understand a network with a fixe…