Publications & software

2024

1. arXiv

   Algorithm-agnostic significance testing in supervised learning with multimodal data

   Lucas Kook, and Anton Rask Lundborg

   2024

   arXiv Bib

   @article{kook2024algorithm,
     title = {{Algorithm-agnostic significance testing in supervised learning with multimodal data}},
     author = {Kook, Lucas and Lundborg, Anton Rask},
     year = {2024},
     doi = {10.48550/arXiv.2402.14416},
     eprint = {2402.14416},
     archiveprefix = {arXiv},
     primaryclass = {stat.AP}
   }

2023

1. arXiv

   Perturbation-based Analysis of Compositional Data

   Anton Rask Lundborg, and Niklas Pfister

   2023

   arXiv Bib

   @misc{lundborg2023perturbationbased,
     doi = {10.48550/arXiv.2311.18501},
     author = {Lundborg, Anton Rask and Pfister, Niklas},
     title = {Perturbation-based Analysis of Compositional Data},
     year = {2023},
     eprint = {2311.18501},
     archiveprefix = {arXiv},
     primaryclass = {stat.ME}
   }

2. arXiv

   Model-based causal feature selection for general response types

   Lucas Kook, Sorawit Saengkyongam, Anton Rask Lundborg, Torsten Hothorn, and Jonas Peters

   2023

   arXiv Bib

   @misc{kook2023model,
     doi = {10.48550/ARXIV.2309.12833},
     author = {Kook, Lucas and Saengkyongam, Sorawit and Lundborg, Anton Rask and Hothorn, Torsten and Peters, Jonas},
     keywords = {Methodology (stat.ME), Statistics Theory (math.ST), Machine Learning (stat.ML)},
     title = {Model-based causal feature selection for general response types},
     publisher = {arXiv},
     year = {2023},
     copyright = {Creative Commons Attribution 4.0 International},
   }

2022

1. arXiv

   The Projected Covariance Measure for assumption-lean variable significance testing

   Anton Rask Lundborg, Ilmun Kim, Rajen D. Shah, and Richard J. Samworth

   2022

   arXiv Bib

   @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},
   }

2. arXiv

   Confounder Selection: Objectives and Approaches

   F. Richard Guo, Anton Rask Lundborg, and Qingyuan Zhao

   2022

   arXiv Bib

   @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},
   }

2022

1. JRSSB

   Conditional independence testing in Hilbert spaces with applications to functional data analysis

   Anton Rask Lundborg, Rajen D. Shah, and Jonas Peters

   Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022

   PDF Bib

   @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 = {10.1111/rssb.12544},
     year = {2022},
   }

2024

1. BMJ

   Towards a better understanding of real-world home-visiting programs: a large-scale effectiveness study of parenting mechanisms in Brazil

   Morgan Rebecca Healy, Eduardo Viegas Silva, Anton Rask Lundborg, Fernando Pires Hartwig, Tiago Neuenfeld Munhoz, Adriane Xavier Arteche, Paul G Ramchandani, and Joseph Murray

   BMJ Global Health 2024

   PDF Bib

   @article{healy2024towards,
     author = {Healy, Morgan Rebecca and da Silva, Eduardo Viegas and Lundborg, Anton Rask and Hartwig, Fernando Pires and Munhoz, Tiago Neuenfeld and Arteche, Adriane Xavier and Ramchandani, Paul G and Murray, Joseph},
     title = {Towards a better understanding of real-world home-visiting programs: a large-scale effectiveness study of parenting mechanisms in Brazil},
     volume = {9},
     number = {2},
     elocation-id = {e013787},
     year = {2024},
     doi = {10.1136/bmjgh-2023-013787},
     publisher = {BMJ Specialist Journals},
     url = {https://gh.bmj.com/content/9/2/e013787},
     journal = {BMJ Global Health},
     application = true,
   }