结构 发表于 2025-3-28 16:27:29

Diana Barro,Antonella Basso,Stefania Funari,Guglielmo Alessandro Visentinimport substitution, entrepreneurship and business creation, science and technology development, and fiscal policies.  The resulting analysis, in a comparative perspective, provides a framework for future research as well as for business practice and policymaking..

Expiration 发表于 2025-3-28 19:39:37

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EXULT 发表于 2025-3-28 23:43:11

Alessia Benevento,Fabrizio Durante,Daniela Gallo,Aurora Gattoimport substitution, entrepreneurship and business creation, science and technology development, and fiscal policies.  The resulting analysis, in a comparative perspective, provides a framework for future research as well as for business practice and policymaking..

Flatus 发表于 2025-3-29 04:39:11

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发炎 发表于 2025-3-29 10:29:34

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nonplus 发表于 2025-3-29 13:02:03

Mathematical and Statistical Methods for Actuarial Sciences and FinanceMAF2024

transient-pain 发表于 2025-3-29 18:52:03

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Distribution 发表于 2025-3-29 23:47:52

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TOXIN 发表于 2025-3-30 00:26:33

,Machine Learning for ESG Rating Classification: An Integrated Replicable Model with Financial and Spply a Machine Learning (ML) model. Using a Random Forest (RF) classification model, we estimate the ESG rating class at time . with unprecedented accuracy. This agile and parsimonious model can provide valuable information to sustainable investors for making strategic investment decisions.

interrupt 发表于 2025-3-30 04:52:03

,The Environmental Score and the Financial Statement: A Machine Learning Analysis for Four European ection of European listed firms, our investigation aims to reveal potential relationships between corporate financial variables and the E score. To unravel complex, non-linear relationships within one of the most environmentally conscious markets, namely the European market, we employ advanced techn
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查看完整版本: Titlebook: Mathematical and Statistical Methods for Actuarial Sciences and Finance; MAF2024 Marco Corazza,Frédéric Gannon,Vincent Touzé Conference pro