Bayesian methods in economics and finance: Editor's introduction

Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, includ...

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Main Author:	Jun YU
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2022
Subjects:	Econometrics Finance
Online Access:	https://ink.library.smu.edu.sg/soe_research/2621 https://ink.library.smu.edu.sg/context/soe_research/article/3620/viewcontent/JoE_Editor_2022.pdf
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Institution:	Singapore Management University
Language:	English

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spelling	sg-smu-ink.soe_research-36202022-08-18T04:55:32Z Bayesian methods in economics and finance: Editor's introduction Jun YU, Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, including prior choices, model selection with massive data and latent variables, hypothesis testing, Bayesian learning. In total, this special issue contains ten papers, all subject to the Journal of Econometrics (JOE)’s normal refereeing process. Most of these papers came from a conference held at the ESSEC Singapore campus on 10 December 2018. 2022-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2621 info:doi/10.1016/j.jeconom.2021.12.004 https://ink.library.smu.edu.sg/context/soe_research/article/3620/viewcontent/JoE_Editor_2022.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics Finance
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Econometrics Finance
spellingShingle	Econometrics Finance Jun YU, Bayesian methods in economics and finance: Editor's introduction
description	Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, including prior choices, model selection with massive data and latent variables, hypothesis testing, Bayesian learning. In total, this special issue contains ten papers, all subject to the Journal of Econometrics (JOE)’s normal refereeing process. Most of these papers came from a conference held at the ESSEC Singapore campus on 10 December 2018.
format	text
author	Jun YU,
author_facet	Jun YU,
author_sort	Jun YU,
title	Bayesian methods in economics and finance: Editor's introduction
title_short	Bayesian methods in economics and finance: Editor's introduction
title_full	Bayesian methods in economics and finance: Editor's introduction
title_fullStr	Bayesian methods in economics and finance: Editor's introduction
title_full_unstemmed	Bayesian methods in economics and finance: Editor's introduction
title_sort	bayesian methods in economics and finance: editor's introduction
publisher	Institutional Knowledge at Singapore Management University
publishDate	2022
url	https://ink.library.smu.edu.sg/soe_research/2621 https://ink.library.smu.edu.sg/context/soe_research/article/3620/viewcontent/JoE_Editor_2022.pdf
_version_	1770576276403257344

Bayesian methods in economics and finance: Editor's introduction

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