Bayesian Mindsponge Framework
Hoang Nguyen and
Tri Le
No b4uny, OSF Preprints from Center for Open Science
Abstract:
Bayesian Mindsponge Framework (BMF, also known as Bayesian Mindsponge analytical approach) is an analytical approach that employs the mindsponge information-processing mechanism and Bayesian analysis (e.g. bayesvl package) as each other’s complement to conduct cognitive and psychological research.
Date: 2021-08-06
New Economics Papers: this item is included in nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://osf.io/download/610d724fe3801302fb960c81/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:b4uny
DOI: 10.31219/osf.io/b4uny
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().