1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85
|
%% forests
@Article{Breiman2001,
title={Random Forests},
author={Breiman, L.},
journal={Machine Learning},
volume={45},
number={1},
pages={5--32},
year={2001},
doi={10.1023/a:1010933404324}
}
@Article{Philipp2018,
title={Measuring the Stability of Results from Supervised Statistical Learning},
author={Philipp, M. and Rusch, T. and Hornik, K. and Strobl, C.},
journal={Journal of Computational and Graphical Statistics},
volume={27},
number={4},
pages={685--700},
year={2018},
doi={10.1080/10618600.2018.1473779}
}
@InProceedings{Philipp2016,
title={A Toolkit for Stability Assessment of Tree-Based Learners},
author={Philipp, M. and Zeileis, A. and Strobl, C.},
booktitle={Proceedings of {COMPSTAT} 2016 -- 22nd International Conference on Computational Statistics},
editor={Colubi, A. and Blanco, A. and Gatu, C.},
isbn={978-90-73592-36-0},
publisher={The International Statistical Institute/International Association for Statistical Computing},
pages={315--325},
note={Preprint available at \url{http://EconPapers.RePEc.org/RePEc:inn:wpaper:2016-11}},
year={2016}
}
@Article{Hothorn2006,
title={Unbiased Recursive Partitioning: {A} Conditional Inference Framework},
author={Hothorn, T. and Hornik, K. and Zeileis, A.},
journal={Journal of Computational and Graphical Statistics},
volume={15},
number={3},
pages={651--674},
year={2006},
doi={10.1198/106186006x133933}
}
@Article{Strobl2007,
title={Bias in Random Forest Variable Importance Measures: {Illustrations}, Sources and a Solution},
author={Strobl, C. and Boulesteix, A.-L. and Zeileis, A. and Hothorn, T.},
journal={BMC Bioinformatics},
volume={8},
number={25},
year={2007},
doi={10.1186/1471-2105-8-25}
}
@Article{Strobl2009,
title={An Introduction to Recursive Partitioning: {Rationale}, Application, and Characteristics of Classification and Regression Trees, Bagging, and Random Forests},
author={Strobl, C. and Malley, J. and Tutz, G.},
journal={Psychological Methods},
volume={14},
number={4},
pages={323--348},
year={2009},
doi={10.1037/a0016973}
}
@Article{Liaw2002,
title={Classification and Regression by {randomForest}},
author={Liawm, A. and Wiener, M.},
journal={R News},
volume={2},
number={3},
pages={18--22},
year={2002}
}
@Techreport{Groemping2019,
title={South {German} Credit Data: {Correcting} a Widely Used Data Set},
author={Gr\"omping, U.},
group={Reports in Mathematics, Physics and Chemistry},
year={2019},
institution={Beuth University of Applied Sciences Berlin, Department II},
}
|