Titlebook: Artificial Intelligence and Credit Risk; The Use of Alternati Rossella Locatelli,Giovanni Pepe,Fabio Salis Book 2022 AIFIRM 2022 Credit rat

只看該作者 · 發(fā)表于 2025-3-24 05:27:57

Introduction,aper articles and social media, the COVID-19 pandemics. Those types of data can be used with different purposes to enhance several aspects of the credit risk modelling: early warning, provisioning, benchmarking, loan granting and risk discrimination.

只看該作者 · 發(fā)表于 2025-3-24 07:44:36

The Validation of AI Techniques,ing the methodological approaches aimed at assessing the stability of the models is detailed. In order to evaluate and interpret the results of the AI models, the contribution of each risk divers is assessed by means of specific methodologies.

只看該作者 · 發(fā)表于 2025-3-24 13:22:58

只看該作者 · 發(fā)表于 2025-3-24 17:49:46

只看該作者 · 發(fā)表于 2025-3-24 20:16:58

只看該作者 · 發(fā)表于 2025-3-25 01:44:18

https://doi.org/10.1007/978-3-476-99256-7service industry is investing on the development of AI models. In particular, alternative types of information have become accessible due to the business relationships of banks with their customers, the progressive digitalisation of the economy, the availability of information of the websites, newsp

		自動(dòng)登錄	找回密碼
密碼			To register

關(guān)于派博傳思			派博傳思旗下網(wǎng)站			友情鏈接
派博傳思介紹	公司地理位置	論文服務(wù)流程	影響因子官網(wǎng)	吾愛論文網(wǎng)	大講堂	北京大學(xué)	Oxford Uni.	Harvard Uni.
發(fā)展歷史沿革	期刊點(diǎn)評(píng)	投稿經(jīng)驗(yàn)總結(jié)	SCIENCEGARD	IMPACTFACTOR	派博系數(shù)	清華大學(xué)	Yale Uni.	Stanford Uni.
\|Archiver\|手機(jī)版\|小黑屋\| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-30 21:19
Copyright © 2001-2015 派博傳思京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved