Nonparametric Conditional Local Independence Testing

1 code implementation • 25 Mar 2022 • Alexander Mangulad Christgau, Lasse Petersen, Niels Richard Hansen

It describes whether the evolution of one process is directly influenced by another process given the histories of additional processes, and it is important for the description and learning of causal relations among processes.

Robustly Removing Deep Sea Lighting Effects for Visual Mapping of Abyssal Plains

no code implementations • 1 Oct 2021 • Kevin Köser, YiFan Song, Lasse Petersen, Emanuel Wenzlaff, Felix Woelk

The majority of Earth's surface lies deep in the oceans, where no surface light reaches.

Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

1 code implementation • 21 Feb 2020 • Sebastian Weichwald, Martin E Jakobsen, Phillip B Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando

In this article, we describe the algorithms for causal structure learning from time series data that won the Causality 4 Climate competition at the Conference on Neural Information Processing Systems 2019 (NeurIPS).

Time Series Time Series Analysis