Lucas K Mentch
Lucas K Mentch
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Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
L Mentch, G Hooker
The Journal of Machine Learning Research 17 (1), 841-881, 2016
Please stop permuting features: An explanation and alternatives
G Hooker, L Mentch
arXiv preprint arXiv:1905.03151, 2019
Formal hypothesis tests for additive structure in random forests
L Mentch, G Hooker
Journal of Computational and Graphical Statistics 26 (3), 589-597, 2017
Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
M Mehrmohamadi, LK Mentch, AG Clark, JW Locasale
Nature communications 7 (1), 1-13, 2016
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
T Jung, D Kang, L Mentch, E Hovy
arXiv preprint arXiv:1908.11723, 2019
R-CMap—An open-source software for concept mapping
H Bar, L Mentch
Evaluation and program planning 60, 284-292, 2017
Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
L Mentch, G Hooker
arXiv preprint arXiv:1404.6473, 2014
Randomization as regularization: a degrees of freedom explanation for random forest success
L Mentch, S Zhou
arXiv preprint arXiv:1911.00190, 2019
Asymptotic distributions and rates of convergence for random forests and other resampled ensemble learners
W Peng, T Coleman, L Mentch
arXiv preprint arXiv:1905.10651, 2019
Statistical inference on tree swallow migrations with random forests
T Coleman, L Mentch, D Fink, FA La Sorte, DW Winkler, G Hooker, ...
Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020
Scalable and efficient hypothesis testing with random forests
T Coleman, W Peng, L Mentch
arXiv preprint arXiv:1904.07830, 2019
Bootstrap bias corrections for ensemble methods
G Hooker, L Mentch
Statistics and Computing 28 (1), 77-86, 2018
The importance of calibration in clinical psychology
O Lindhiem, IT Petersen, LK Mentch, EA Youngstrom
Assessment 27 (4), 840-854, 2020
Score operators of a qubit with applications
MR Frey, AL Miller, LK Mentch, J Graham
Quantum Information Processing 9 (5), 629-641, 2010
Predictive inference with random forests: A new perspective on classical analyses
RJ McAlexander, L Mentch
Research & Politics 7 (1), 2053168020905487, 2020
Smudge noise for quality estimation of fingerprints and its validation
R Richter, C Gottschlich, L Mentch, DH Thai, SF Huckemann
IEEE Transactions on Information Forensics and Security 14 (8), 1963-1974, 2019
Posterior calibrated training on sentence classification tasks
T Jung, D Kang, H Cheng, L Mentch, T Schaaf
arXiv preprint arXiv:2004.14500, 2020
On racial disparities in recent fatal police shootings
L Mentch
Statistics and Public Policy 7 (1), 9-18, 2020
-statistics and Variance Estimation
Z Zhou, L Mentch, G Hooker
arXiv preprint arXiv:1912.01089, 2019
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
L Mentch, S Zhou
arXiv preprint arXiv:2003.03629, 2020
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