Support Vector Machines（支持向量机）和Deep Learning（深度学习）等技术可以更加有效率地处理复杂关系。
machine learningpredictiongrowthgrowth accountinggrowth theoryThis book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known asBasuchoudhary, AtinBang, James T....
California, and Emeritus Professor of Economics, University of California, Berkeley, California.不...
It begins by briefly overviewing some themes from the literature on machine learning, and then draws some contrasts with traditional approaches to estimating the impact of counterfactual policies in economics. Next, we review some of the initial "off-the-shelf" applications of machine learning to ...
So applying machine learning to economics requires finding relevant tasks. Machine learning algorithms are now technically easy to use: you can download convenient packages in R or Python. This also raises the risk that the algorithms are applied naively or their output is misinterpreted. We hope ...
these days is “go to the computer science department and take a class in machine learning....
doi:10.2139/ssrn.3012602DSGEAsset PricingDynamic ProgrammingMachine LearningThis paper proposes a global algorithm to solve a large class of nonlinear continuous-time models in finance and economics. Using tools from machine learning, ISocial Science Electronic Publishing...
柯滨教授先后在The Accounting Review、Journal of Accounting and Economics、Journal of Accounting Research、Review of Accounting Studies和Contemporary Accounting Research上发表多篇学术论文。柯滨教授擅长从经济学的角度研究会计信息的生成与运用过...
A machine learning approach to economic complexity based on matrix completion Article Open access 10 June 2022 Introduction In her essay The Impact of Machine Learning on Economics, Susan Athey states: “Prediction tasks [...] are typically not the problems of greatest interest for empirical resea...
This study provides a comprehensive review of machine learning (ML) applications in the fields of business and finance. First, it introduces the most commonly used ML techniques and explores their diverse applications in marketing, stock analysis, demand