Search Results - subject:"bagging"

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An investigation of ensemble learning techniques for obesity risk prediction using lifestyle data

Ganie, Shahid Mohammad; Reddy, Bobba Bharath; Hemachandran K - 2025

approach including boosting, bagging, and voting techniques was used for obesity risk prediction based on lifestyle dataset … Tree models are used for bagging, and Logistic Regression, Decision Tree, and Support Vector Machine models are used for …

Persistent link: https://www.econbiz.de/10015420119

Identifying demand elasticity via heteroscedasticity : a panel GMM approach to estimation and inference

Brasch, Thomas von; Raknerud, Arvid; Vigtel, Trond C. - 2024

This paper introduces a panel GMM framework for identifying and estimating demand elasticities via heteroscedasticity. While existing panel estimators address the simultaneity problem, the state-ofthe-art Feenstra/Soderbery (F/S) estimator suffers from inconsistency, inefficiency, and lacks a...

Persistent link: https://www.econbiz.de/10015073836

Nowcasting GDP: what are the gains from machine learning algorithms?

Arro-Cannarsa, Milen; Scheufele, Rolf - 2024

Persistent link: https://www.econbiz.de/10015044842

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

Liu, Zhenkun; Zhang, Ying; Abedin, Mohammad Zoynul; … - In: Journal of retailing and consumer services 79 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10015100820

Forecasting Nigerian stock market volatilities using bagging and ensemble averaging

Godknows, Isenah M. - In: CBN journal of applied statistics 15 (2024) 2, pp. 01-35

Forecast Error (RMSFE) as forecast-error measures, the results shows bagging- ensemble based methods to out-perform the …

Persistent link: https://www.econbiz.de/10015454851

Identifying demand elasticity via heteroscedasticity: A panel GMM approach to estimation and inference

von Brasch, Thomas; Raknerud, Arvid; Vigtel, Trond C. - 2024

Persistent link: https://www.econbiz.de/10015097082

Forecasting Nigerian stock market volatilities using bagging and ensemble averaging

Isenah, Godknows M. - In: CBN Journal of Applied Statistics 15 (2024) 2, pp. 01-35

Forecast Error (RMSFE) as forecast-error measures, the results shows bagging- ensemble based methods to out-perform the …

Persistent link: https://www.econbiz.de/10015462541

Fair learning by model averaging

Fermanian, Jean-David; Guégan, Dominique; Liu, Xuwen - In: Risk and decision analysis : RDA 11 (2025) 1/2, pp. 20-49

Persistent link: https://www.econbiz.de/10015482474

A variant bagging forecasting framework for customer churn in airline

Li, Qiang; Li, Yuangang; Jing, Ranzhe - In: Journal of air transport management : a new … 125 (2025), pp. 1-12

Persistent link: https://www.econbiz.de/10015442320

Exploring the impact of cluster bagging-based weather attention on oil market volatility under the GARCH-MIDAS framework

Wang, Lu; Guo, Yue; Liang, Chao - In: Applied economics 57 (2025) 38, pp. 5839-5858

Persistent link: https://www.econbiz.de/10015443371