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1 |
Extending Joint Models and Quantile Regression - New Bayesian Approaches to Estimation and Effect Selection
Rappl, Anja. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
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2 |
A D-Vine Copula-Based Quantile Regression Approach for the Prediction of Heating Energy Consumption. Using Historical Data for German Households
Niemierko, Rochus. - München : GRIN Verlag, 2019, 1. Auflage, digitale Originalausgabe
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3 |
A D-Vine Copula-Based Quantile Regression Approach for the Prediction of Heating Energy Consumption. Using Historical Data for German Households
Niemierko, Rochus. - München : GRIN Verlag, 2019, 1. Auflage
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4 |
The Consistency of Quantile Regression in Linear Mixed Models
Weidenhammer, Beate. - Berlin : Freie Universität Berlin, 2019
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5 |
Modelling Systemic Risk using Neural Network Quantile Regression
Keilbar, Georg. - Berlin : Humboldt-Universität zu Berlin, 2018
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6 |
D-vine copula based quantile regression and the simplifying assumption for vine copulas
Kraus, Daniel. - München : Universitätsbibliothek der TU München, 2017
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7 |
Econometric analysis of quantile regression models and networks : With empirical applications
Marchenko, Maria. - Mannheim : Universitätsbibliothek Mannheim, 2016
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8 |
Quantile regression in risk calibration
Chao, Shih-Kang. - Berlin : Humboldt Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2015
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9 |
Monitoring Industrial Machine Power Consumption Using Non- and Semiparametric Quantile Regression
Ballentin, Sven. - Berlin : Humboldt-Universität zu Berlin, 2014
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10 |
Quantile lasso regression for single index model
Yu, Lining. - Berlin : Humboldt-Universität zu Berlin, 2014
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