Forecasting U.S. county drug poisoning mortality rates through Linear Regression, XGBoost, and LightGBM : utilizing Linear Regression, XGBoost, and LightGBM for comparative time series analysis with exogenous variables

Manuelian, H. der

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Tilburg University

Forecasting U.S. county drug poisoning mortality rates through Linear Regression, XGBoost, and LightGBM : utilizing Linear Regression, XGBoost, and LightGBM for comparative time series analysis with exogenous variables

dc:creator Manuelian, H. der

dc:date2025

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Author dc:creator: Manuelian, H. der
Contributors dc:contributor: Chrupała, G.A.

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Statement dc:rights: (c) Universiteit van Tilburg
Language dc:language: eng

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Repository record dc:identifier: https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11117459
OAI identifier oai:identifier: oai:scr.uvt.nl:11117459

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Base URL: arno.uvt.nl/oai/scr.uvt.nl.cgi
Last updated: 2026-07-24
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Manuelian, H. der. Forecasting U.S. county drug poisoning mortality rates through Linear Regression, XGBoost, and LightGBM : utilizing Linear Regression, XGBoost, and LightGBM for comparative time series analysis with exogenous variables. 2025. https://tilburguniversity.on.worldcat.org/search?queryString=scr.uvt.nl:11117459

Forecasting U.S. county drug poisoning mortality rates through Linear Regression, XGBoost, and LightGBM : utilizing Linear Regression, XGBoost, and LightGBM for comparative time series analysis with exogenous variables

Author and committee

Rights

Identifiers

Chain of custody

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