Search Results - subject:"Gradient boosting"

Early detection of students' failure using Machine Learning techniques

López-García, Aarón; Blasco-Blasco, Olga; … - In: Operations research perspectives 11 (2023), pp. 1-11

The educational system determines one of the significant strengths of an advanced society. A country with a lack of culture is less competitive due to the inequality suffered by its people. Institutions and organizations are putting their efforts into tackling that problem. Nevertheless, it is...

Persistent link: https://www.econbiz.de/10014448625

Making it into a successful series A funding : an analysis of Crunchbase and LinkedIn data

Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; … - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-19

train two models for predicting startup success employing light gradient boosting that use LinkedIn data as a standalone and …

Persistent link: https://www.econbiz.de/10014514009

Relative valuation with machine learning

Geertsema, Paul; Lu, Helen - In: Journal of accounting research 61 (2023) 1, pp. 329-376

Persistent link: https://www.econbiz.de/10014308321

Error spotting with gradient boosting : a machine learning-based application for central bank data quality

Burger, Csaba; Berndt, Mihály - 2023

. This paper implements an outlier-based error-spotting algorithm using gradient boosting, and presents a blueprint for the … Bank of Hungary (MNB), and introduces a set of synthetic error types to test its hypotheses. The paper shows that gradient … boosting is not materially impacted by the choice of the imputation method, hence, replacement with a constant, the …

Persistent link: https://www.econbiz.de/10014283565

COVID-19 media chatter and macroeconomic reflectors on black swan : a Spanish and Indian stock markets comparison

Ghosh, Indranil; Alfaro-Cortés, Esteban; Gámez, Matías; … - In: Risks : open access journal 11 (2023) 5, pp. 1-27

Isometric Mapping (ISOMAP), which is a non-linear feature transformation tool, and Gradient Boosting Regression (GBR), which is …

Persistent link: https://www.econbiz.de/10014333537

Debiasing treatment effect estimation for privacy- protected data : a model auditing and calibration approach

Huang, Ta-Wei; Ascarza, Eva - 2023 - This version: September 18, 2023

Persistent link: https://www.econbiz.de/10014468100

Using machine learning to unveil the predictors of intergenerational mobility

Clemente-Casinhas, Luís; Ferreira-Lopes, Alexandra; … - In: Review of income and wealth 71 (2025) 1, pp. 1-33

Persistent link: https://www.econbiz.de/10015168651

Interval forecasting of carbon price with a novel hybrid multiscale decomposition and bootstrap approach

Zhu, Bangzhu; Wan, Chunzhuo; Wang, Ping; Chevallier, Julien - In: Journal of forecasting 44 (2025) 2, pp. 376-390

Persistent link: https://www.econbiz.de/10015374041

Machine learning applications to land and structure valuation

Mayer, Michael; Bourassa, Steven C.; Hoesli, Martin; … - In: Journal of Risk and Financial Management 15 (2022) 5, pp. 1-24

benefit from the excellent predictive capabilities of two advanced machine learning techniques: deep learning and gradient … boosting. Furthermore, we show how STAR models can be used for supervised dimension reduction and explain under what …

Persistent link: https://www.econbiz.de/10014332394

Explainable AI for credit assessment in banks

de Lange, Petter Eilif; Melsom, Borger; Vennerød, … - In: Journal of Risk and Financial Management 15 (2022) 12, pp. 1-23

Banks' credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured consumer loans provided by a Norwegian bank. We combined a LightGBM model...

Persistent link: https://www.econbiz.de/10014332712