research
∙
07/29/2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable
We consider the problem of learning a set of direct causes of a target v...
share
research
∙
03/27/2023
Identifiability of causal graphs under nonadditive conditionally parametric causal models
Causal discovery from observational data is a very challenging, often im...
research
∙
12/19/2022
Detecting causal covariates for extreme dependence structures
Determining the causes of extreme events is a fundamental question in ma...
research
∙
05/18/2022
Linear prediction of point process times and marks
In this paper, we are interested in linear prediction of a particular ki...
research
∙
10/13/2021
Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow
Confounding variables are a recurrent challenge for causal discovery and...
research
∙
09/05/2021
Climate-Related Disasters and the Death Toll
With climate change accelerating, the frequency of climate disasters is ...
research
∙
05/12/2020
Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital
Viruses causing flu or milder coronavirus colds are often referred to as...
research
∙
11/11/2019
Intraday Retail Sales Forecast: An Efficient Algorithm for Quantile Additive Modeling
With the ever increasing prominence of data in retail operations, sales ...
research
∙
07/08/2019
Causal mechanism of extreme river discharges in the upper Danube basin network
Extreme hydrological events in the Danube river basin may severely impac...
research
∙
06/18/2019
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy
Analyzing mobility behavior of users is extremely useful to create or im...
research
∙
02/05/2018
Exceedance-based nonlinear regression of tail dependence
The probability and structure of co-occurrences of extreme values in mul...
research
∙
01/31/2018