找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Behavioral Predictive Modeling in Economics; Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Y Book 2021 The Editor(s) (if applicable) an

[复制链接]
查看: 52545|回复: 59
发表于 2025-3-21 16:49:08 | 显示全部楼层 |阅读模式
期刊全称Behavioral Predictive Modeling in Economics
影响因子2023Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Y
视频video
发行地址Presents a state-of-the-art overview of what can be done and what should be done to incorporate behavioral predictive models into econometrics.Showcases recently developed behavioral models.Written by
学科分类Studies in Computational Intelligence
图书封面Titlebook: Behavioral Predictive Modeling in Economics;  Songsak Sriboonchitta,Vladik Kreinovich,Woraphon Y Book 2021 The Editor(s) (if applicable) an
影响因子This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people‘s behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques. .
Pindex Book 2021
The information of publication is updating

书目名称Behavioral Predictive Modeling in Economics影响因子(影响力)




书目名称Behavioral Predictive Modeling in Economics影响因子(影响力)学科排名




书目名称Behavioral Predictive Modeling in Economics网络公开度




书目名称Behavioral Predictive Modeling in Economics网络公开度学科排名




书目名称Behavioral Predictive Modeling in Economics被引频次




书目名称Behavioral Predictive Modeling in Economics被引频次学科排名




书目名称Behavioral Predictive Modeling in Economics年度引用




书目名称Behavioral Predictive Modeling in Economics年度引用学科排名




书目名称Behavioral Predictive Modeling in Economics读者反馈




书目名称Behavioral Predictive Modeling in Economics读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:29:25 | 显示全部楼层
发表于 2025-3-22 03:13:16 | 显示全部楼层
发表于 2025-3-22 05:57:26 | 显示全部楼层
发表于 2025-3-22 11:41:43 | 显示全部楼层
发表于 2025-3-22 16:51:32 | 显示全部楼层
PD-Implied Ratings via Referencing a Credit Rating/Scoring Pool’s Default Experiencecally rigorous and operationally superior and granular credit risk measures such as probability of default (PD). This paper reverse-engineers a mapping methodology converting PDs to letter ratings by referencing the realized default rates of different rating categories experienced by a commercial ra
发表于 2025-3-22 20:57:24 | 显示全部楼层
发表于 2025-3-22 23:55:26 | 显示全部楼层
Why Beta Priors: Invariance-Based Explanationd. The fact that there have been many successful applications of this idea seems to indicate that there must be a fundamental reason for selecting this particular family of distributions. In this paper, we show that the selection of this family can indeed be explained if we make reasonable invarianc
发表于 2025-3-23 01:44:36 | 显示全部楼层
Ranking-Based Voting Revisited: Maximum Entropy Approach Leads to Borda Count (and Its Versions) from each participant, a full information about his/her preferences, but such elicitation is usually too time-consuming to be practical. Instead, we only elicit, from each participant, his/her ranking of different alternatives. One of the semi-heuristic methods for decision making under such inform
发表于 2025-3-23 08:11:41 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-22 02:40
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表