Anton Rask Lundborg
Department of Mathematical Sciences
University of Copenhagen
2100 København Ø
I am a postdoc at the Copenhagen Causality Lab, University of Copenhagen. My current research focuses on non- and semiparametric inference for a variety of different data structures and problems.
My research interests include developing new methods with theoretical guarantees and analysing current methods in the fields of causal inference, semi- and nonparametric statistics and non-euclidean statistics.
I am also interested in more foundational and philosophical problems in statistics and causal inference in particular.
I am supervised by Niklas Pfister. Previously, I did a PhD under the supervision of Rajen Shah and Richard Samworth at the Statistical Laboratory, University of Cambridge and a master’s thesis under the supervision of Jonas Peters at the University of Copenhagen.
Keywords: statistics, theoretical statistics, conditional independence testing, causal inference, semiparametric statistics, nonparametric statistics, non-euclidean statistics
|Nov 2022||Paper on conditional independence testing for functional data is published in the Journal of The Royal Statistical Society: Series B.|
|Nov 2022||New paper on arXiv: The Projected Covariance Measure for assumption-lean variable significance testing|
|Oct 2022||Started postdoc at the University of Copenhagen supervised by Niklas Pfister.|
|Aug 2022||New paper on arXiv: Confounder Selection: Objectives and Approaches.|
|Jan 2021||First paper is on arXiv: Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data.|
|Dec 2020||Gave a talk at CMStatistics 2020 about upcoming work on conditional independence testing for functional data.|
|Jan 2020||Started position as a PhD Student at the Unversity of Cambridge supervised by Rajen Shah and Richard Samworth.|