@article{lundborg2022conditional,author={Lundborg, Anton Rask and Shah, Rajen D. and Peters, Jonas},title={Conditional independence testing in Hilbert spaces with applications to functional data analysis},journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},volume={84},number={5},pages={1821-1850},keywords={functional graphical model, function-on-function regression, significance testing, truncated functional linear model, uniform type I error control},doi={https://doi.org/10.1111/rssb.12544},year={2022},}
Preprints
2022
arXiv
The Projected Covariance Measure for assumption-lean variable significance testing
@misc{lundborg2022projected,doi={10.48550/ARXIV.2211.02039},author={Lundborg, Anton Rask and Kim, Ilmun and Shah, Rajen D. and Samworth, Richard J.},keywords={Statistics Theory (math.ST), Methodology (stat.ME), Machine Learning (stat.ML), FOS: Mathematics, FOS: Mathematics, FOS: Computer and information sciences, FOS: Computer and information sciences, 62G10},title={The Projected Covariance Measure for assumption-lean variable significance testing},publisher={arXiv},year={2022},copyright={Creative Commons Attribution 4.0 International},}
@misc{guo2022confounder,doi={10.48550/ARXIV.2208.13871},author={Guo, F. Richard and Lundborg, Anton Rask and Zhao, Qingyuan},keywords={Methodology (stat.ME), Statistics Theory (math.ST), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Mathematics, FOS: Mathematics},title={Confounder Selection: Objectives and Approaches},publisher={arXiv},year={2022},copyright={Creative Commons Attribution 4.0 International},}
Software packages
R code for ghcm available on CRAN. Source and bug report on GitHub.