Search Results - subject:"bagging." - EconBiz

Did you mean: subject:"lagging." (10,060 results)

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

von Brasch, Thomas; 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/10015097082

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

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

Arro-Cannarsa, Milen; Scheufele, Rolf - 2024

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

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

Development of information technology for analyzing the customer churn of a telecommunication company

Papa, Andrii; Shemet, Yevgen; Yarovyi, Andrii; … - In: Technology audit and production reserves 2 (2022) 2/64, pp. 11-15

Persistent link: https://www.econbiz.de/10013325867

Default prediction based on a locally weighted dynamic ensemble model for imbalanced data

Xing, Jin; Chi, Guotai; Pan, Ancheng - In: The journal of risk model validation 18 (2024) 1, pp. 45-73

Persistent link: https://www.econbiz.de/10014556698

Harnessing volatility cascades with ensemble learning

Cheng, Mingmian - In: Journal of forecasting 43 (2024) 8, pp. 2954-2981

Persistent link: https://www.econbiz.de/10015110591

Enhancing credit risk prediction based on ensemble tree-based feature transformation and logistic regression

Liu, Jiaming; Liu, Jiajia; Wu, Chong; Wang, Shouyang - In: Journal of forecasting 43 (2024) 2, pp. 429-455

Persistent link: https://www.econbiz.de/10014475349

Ensemble variance reduction methods for stochastic mixed-integer programming and their application to the stochastic facility location problem

Xu, Jiajun; Sen, Suvrajeet - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 2, pp. 587-599

Persistent link: https://www.econbiz.de/10014532313

A service of the