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 APA Style APA-ALL Style AAA 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). Combining Variational Inference and Importance Sampling to Efficiently Approximate Bayesian Models. In Econometrie.http://hdl.handle.net/2105/65811

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