162 citations · 183 across the 7 of their papers we have counts for
3 papers · 1 filter
Kernel-based independence tests for causal structure learning on functional data
Felix Laumann, Julius von Kügelgen, Junhyung Park +2
Measurements of systems taken along a continuous functional dimension, such as time or space, are ubiquitous in many fields, from the physical and biological sciences to economics…
Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series
Zhaolu Liu, Robert L. Peach, Felix Laumann +2
Multivariate time series data that capture the temporal evolution of interconnected systems are ubiquitous in diverse areas. Understanding the complex relationships and potential d…
Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
Felix Laumann, Julius von Kügelgen, Mauricio Barahona
Two-sample and independence tests with the kernel-based MMD and HSIC have shown remarkable results on i.i.d. data and stationary random processes. However, these statistics are not…