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#' Print an Rd-formatted bib entry
#'
#' @keywords internal
#' @param ... (`character`) One or more quoted names of `bibentries` to print.
#' @importFrom tools toRd
#' @importFrom utils bibentry
print_bib = function(...) {
str = sapply(list(...), function(entry) tools::toRd(bibentries[[entry]]))
paste0(str, collapse = "\n\n")
}
#' @importFrom utils person
bibentries = c(
ewald_2024 = bibentry(
"inproceedings",
title = "A Guide to Feature Importance Methods for Scientific Inference",
author = c(
person("Fiona Katharina", "Ewald"),
person("Ludwig", "Bothmann"),
person("Marvin N.", "Wright"),
person("Bernd", "Bischl"),
person("Giuseppe", "Casalicchio"),
person("Gunnar", "K\u00f6nig")
),
year = "2024",
booktitle = "Explainable Artificial Intelligence",
editor = c(
person("Luca", "Longo"),
person("Sebastian", "Lapuschkin"),
person("Christin", "Seifert")
),
pages = "440--464",
publisher = "Springer Nature Switzerland",
location = "Cham",
doi = "10.1007/978-3-031-63797-1_22",
isbn = "978-3-031-63797-1"
),
konig_2021 = bibentry(
"inproceedings",
title = "Relative Feature Importance",
author = c(
person("Gunnar", "K\u00f6nig"),
person("Christoph", "Molnar"),
person("Bernd", "Bischl"),
person("Moritz", "Grosse-Wentrup")
),
year = "2021",
booktitle = "2020 25th International Conference on Pattern Recognition (ICPR)",
pages = "9318--9325",
doi = "10.1109/ICPR48806.2021.9413090"
),
blesch_2025 = bibentry(
"article",
title = "Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests",
author = c(
person("Kristin", "Blesch"),
person("Niklas", "Koenen"),
person("Jan", "Kapar"),
person("Pegah", "Golchian"),
person("Lukas", "Burk"),
person("Markus", "Loecher"),
person("Marvin N.", "Wright")
),
year = "2025",
journal = "Proceedings of the AAAI Conference on Artificial Intelligence",
volume = "39",
number = "15",
pages = "15596--15604",
doi = "10.1609/aaai.v39i15.33712"
),
watson_2023 = bibentry(
"inproceedings",
title = "Adversarial Random Forests for Density Estimation and Generative Modeling",
author = c(
person("David S.", "Watson"),
person("Kristin", "Blesch"),
person("Jan", "Kapar"),
person("Marvin N.", "Wright")
),
year = "2023",
booktitle = "Proceedings of The 26th International Conference on Artificial Intelligence and Statistics",
pages = "5357--5375",
publisher = "PMLR",
url = "https://proceedings.mlr.press/v206/watson23a.html"
),
breiman_2001 = bibentry(
"article",
title = "Random Forests",
author = person("Leo", "Breiman"),
year = "2001",
journal = "Machine Learning",
volume = "45",
number = "1",
pages = "5--32",
doi = "10.1023/A:1010933404324"
),
fisher_2019 = bibentry(
"article",
title = "All Models Are Wrong, but Many Are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously",
author = c(
person("Aaron", "Fisher"),
person("Cynthia", "Rudin"),
person("Francesca", "Dominici")
),
year = "2019",
journal = "Journal of Machine Learning Research",
volume = "20",
pages = "177",
url = "https://pmc.ncbi.nlm.nih.gov/articles/PMC8323609/"
),
lundberg_2020 = bibentry(
"inproceedings",
title = "Understanding Global Feature Contributions With Additive Importance Measures",
author = c(
person("Ian", "Covert"),
person("Scott M.", "Lundberg"),
person("Su-In", "Lee")
),
year = "2020",
booktitle = "Advances in Neural Information Processing Systems",
volume = "33",
pages = "17212--17223",
publisher = "Curran Associates, Inc.",
url = "https://proceedings.neurips.cc/paper/2020/hash/c7bf0b7c1a86d5eb3be2c722cf2cf746-Abstract.html"
),
watson_2021 = bibentry(
"article",
title = "Testing Conditional Independence in Supervised Learning Algorithms",
author = c(
person("David S.", "Watson"),
person("Marvin N.", "Wright")
),
year = "2021",
journal = "Machine Learning",
volume = "110",
number = "8",
pages = "2107--2129",
doi = "10.1007/s10994-021-06030-6"
),
blesch_2023 = bibentry(
"article",
title = "Conditional Feature Importance for Mixed Data",
author = c(
person("Kristin", "Blesch"),
person("David S.", "Watson"),
person("Marvin N.", "Wright")
),
year = "2023",
journal = "AStA Advances in Statistical Analysis",
volume = "108",
number = "2",
pages = "259--278",
doi = "10.1007/s10182-023-00477-9"
),
lei_2018 = bibentry(
"article",
title = "Distribution-Free Predictive Inference for Regression",
author = c(
person("Jing", "Lei"),
person("Max", "G'Sell"),
person("Alessandro", "Rinaldo"),
person("Ryan J.", "Tibshirani"),
person("Larry", "Wasserman")
),
year = "2018",
journal = "Journal of the American Statistical Association",
volume = "113",
number = "523",
pages = "1094--1111",
doi = "10.1080/01621459.2017.1307116"
),
strobl_2008 = bibentry(
"article",
title = "Conditional Variable Importance for Random Forests",
author = c(
person("Carolin", "Strobl"),
person("Anne-Laure", "Boulesteix"),
person("Thomas", "Kneib"),
person("Thomas", "Augustin"),
person("Achim", "Zeileis")
),
year = "2008",
journal = "BMC Bioinformatics",
volume = "9",
number = "1",
pages = "307",
doi = "10.1186/1471-2105-9-307"
),
molnar_2023 = bibentry(
"inproceedings",
title = "Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process",
author = c(
person("Christoph", "Molnar"),
person("Timo", "Freiesleben"),
person("Gunnar", "K\u00f6nig"),
person("Julia", "Herbinger"),
person("Tim", "Reisinger"),
person("Giuseppe", "Casalicchio"),
person("Marvin N.", "Wright"),
person("Bernd", "Bischl")
),
year = "2023",
booktitle = "Explainable Artificial Intelligence",
editor = person("Luca", "Longo"),
pages = "456--479",
publisher = "Springer Nature Switzerland",
doi = "10.1007/978-3-031-44064-9_24",
isbn = "978-3-031-44064-9"
),
nadeau_2003 = bibentry(
"article",
title = "Inference for the Generalization Error",
author = c(
person("Claude", "Nadeau"),
person("Yoshua", "Bengio")
),
year = "2003",
journal = "Machine Learning",
volume = "52",
number = "3",
pages = "239--281",
doi = "10.1023/A:1024068626366"
),
little_2019 = bibentry(
"book",
title = "Statistical Analysis with Missing Data",
author = c(
person("Roderick J. A.", "Little"),
person("Donald B.", "Rubin")
),
year = "2019",
edition = "3rd",
publisher = "John Wiley & Sons",
address = "Hoboken, NJ",
isbn = "9780470526798"
),
troyanskaya_2001 = bibentry(
"article",
title = "Missing Value Estimation Methods for DNA Microarrays",
author = c(
person("Olga", "Troyanskaya"),
person("Michael", "Cantor"),
person("Gavin", "Sherlock"),
person("Pat", "Brown"),
person("Trevor", "Hastie"),
person("Robert", "Tibshirani"),
person("David", "Botstein"),
person("Russ B.", "Altman")
),
year = "2001",
journal = "Bioinformatics",
volume = "17",
number = "6",
pages = "520--525",
doi = "10.1093/bioinformatics/17.6.520"
),
anderson_2003 = bibentry(
"book",
title = "An Introduction to Multivariate Statistical Analysis",
author = person("Theodore W.", "Anderson"),
year = "2003",
edition = "3rd",
publisher = "Wiley-Interscience",
address = "Hoboken, NJ",
isbn = "9780471360919"
),
hothorn_2006 = bibentry(
"article",
title = "Unbiased Recursive Partitioning: A Conditional Inference Framework",
author = c(
person("Torsten", "Hothorn"),
person("Kurt", "Hornik"),
person("Achim", "Zeileis")
),
year = "2006",
journal = "Journal of Computational and Graphical Statistics",
volume = "15",
number = "3",
pages = "651--674",
doi = "10.1198/106186006X133933"
),
aas_2021 = bibentry(
"article",
title = "Explaining Individual Predictions When Features Are Dependent: More Accurate Approximations to Shapley Values",
author = c(
person("Kjersti", "Aas"),
person("Martin", "Jullum"),
person("Anders", "L\u00f8land")
),
year = "2021",
journal = "Artificial Intelligence",
volume = "298",
pages = "103502",
doi = "10.1016/j.artint.2021.103502"
)
)
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