Behavioural Articial Intelligence Technology: Designing a Bayesian Approach and Investigating the Feedback Loop

Additional Metadata
Keywords	Behavioural Artificial Intelligence Technology; Decision Support Systems; Bayesian inference; Feedback loops; Bayes; Homogenization; MCMC methods; Variational inference;
Thesis Advisor	Fok, D
Persistent URL	hdl.handle.net/2105/62142
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Wijnands, M.J.A. (2022, March 11). Behavioural Articial Intelligence Technology: Designing a Bayesian Approach and Investigating the Feedback Loop. Econometrie. Retrieved from http://hdl.handle.net/2105/62142

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