Combining Variational Inference and Importance Sampling to Efficiently Approximate Bayesian Models

Additional Metadata
Keywords	Bayesian Inference; Variational Inference; Importance Sampling; No-U-Turn Sampler
Thesis Advisor	Paap, R
Persistent URL	hdl.handle.net/2105/65811
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	Lam, S.K.L. (2022, November 24). Combining Variational Inference and Importance Sampling to Efficiently Approximate Bayesian Models. Econometrie. Retrieved from http://hdl.handle.net/2105/65811

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