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Gao, Yuchen [Author]; Hu, Yimei [Author]; Liu, Xielin [Author]; Zhang, Huanren [Author]

Propensity Score Matching for Multiple Treatments using Generalized Boosted Models

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[S.l.]: SSRN, 2021
Becker, Elizabeth A.; Carretta, James V.; Forney, Karin A.; Barlow, Jay; Brodie, Stephanie; Hoopes, Ryan; Jacox, Michael G.; Maxwell, Sara M.; Redfern, Jessica V.; Sisson, Nicholas B.; Welch, Heather; Hazen, Elliott L.

Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees

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Wiley, 2020

Published in: Ecology and Evolution, 10 (2020) 12, Seite 5759-5784
Obster, Fabian; Brand, Josephine; Ciolacu, Monica; Humpe, Andreas

Improving Boosted Generalized Additive Models with Random Forests: A Zoo Visitor Case Study for Smart Tourism

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Elsevier BV, 2023

Published in: Procedia Computer Science, 217 (2023), Seite 187-197
Pachauri, Nikhil; Ahn, Chang Wook

Electrical Energy Prediction of Combined Cycle Power Plant Using Gradient Boosted Generalized Additive Model

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Institute of Electrical and Electronics Engineers (IEEE), 2022

Published in: IEEE Access, 10 (2022), Seite 24566-24577
Fang, Qiancheng; Nguyen, Hoang; Bui, Xuan-Nam; Nguyen-Thoi, Trung; Zhou, Jian

Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model

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Springer Science and Business Media LLC, 2021

Published in: Neural Computing and Applications, 33 (2021) 8, Seite 3503-3519
Bou-Hamad, Imad; Anouze, Abdel Latef; Larocque, Denis

An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment

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Springer Science and Business Media LLC, 2017

Published in: Annals of Operations Research, 253 (2017) 1, Seite 77-95
Setodji, Claude M.; McCaffrey, Daniel F.; Burgette, Lane F.; Almirall, Daniel; Griffin, Beth Ann

The Right Tool for the Job : Choosing Between Covariate-balancing and Generalized Boosted Model Propensity Scores : Choosing Between Covariate-balancing and Generalized Boosted Model Propensity Scores

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Ovid Technologies (Wolters Kluwer Health), 2017

Published in: Epidemiology, 28 (2017) 6, Seite 802-811
Setodji, Claude M.; McCaffrey, Daniel F.; Burgette, Lane F.; Almirall, Daniel; Griffin, Beth Ann

The Right Tool for the Job : Choosing Between Covariate-balancing and Generalized Boosted Model Propensity Scores

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Wolters Kluwer Health, Inc., 2017

Published in: Epidemiology, 28 (2017) 6, Seite 802-811
McCaffrey, Daniel F.; Griffin, Beth Ann; Almirall, Daniel; Slaughter, Mary Ellen; Ramchand, Rajeev; Burgette, Lane F.

A tutorial on propensity score estimation for multiple treatments using generalized boosted models

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Wiley, 2013

Published in: Statistics in Medicine, 32 (2013) 19, Seite 3388-3414
Navarro, Matthew; Hailu, Atakelty; Langlois, Tim; Ryan, Karina L; Kragt, Marit E

Determining spatial patterns in recreational catch data: a comparison of generalized additive mixed models and boosted regression trees

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Oxford University Press (OUP), 2020

Published in: ICES Journal of Marine Science, 77 (2020) 6, Seite 2216-2225
Deng, Yiling; Yan, Yadan

Propensity Score Weighting with Generalized Boosted Models to Explore the Effects of the Built Environment and Residential Self-Selection on Travel Behavior

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SAGE Publications, 2019

Published in: Transportation Research Record: Journal of the Transportation Research Board, 2673 (2019) 4, Seite 373-383
You, M. P.; Rensing, K.; Renton, M.; Barbetti, M. J.

Critical factors driving aphanomyces damping‐off and root disease in clover revealed and explained using linear and generalized linear models and boosted regression trees

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Wiley, 2018

Published in: Plant Pathology, 67 (2018) 6, Seite 1374-1387
Martínez-Rincón, Raul O.; Ortega-García, Sofía; Vaca-Rodríguez, Juan G.

Comparative performance of generalized additive models and boosted regression trees for statistical modeling of incidental catch of wahoo (Acanthocybium solandri) in the Mexican tuna purse-seine fishery

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Elsevier BV, 2012

Published in: Ecological Modelling, 233 (2012), Seite 20-25

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