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  • Search: subject:"Variational inference"
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Year of publication
Subject
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Bayes-Statistik 8 Bayesian inference 8 Forecasting model 8 Prognoseverfahren 8 Variational inference 6 Estimation theory 5 Induktive Statistik 5 Schätztheorie 5 Statistical inference 5 Theorie 5 Theory 5 Time series analysis 5 Zeitreihenanalyse 5 Forecasting 4 variational inference 4 Consumer behaviour 3 Konsumentenverhalten 3 VAR model 3 VAR-Modell 3 Artificial intelligence 2 Clustering 2 Dirichlet Process Mixture 2 Estimation 2 Hierarchical Prior 2 Importance Sampling 2 Künstliche Intelligenz 2 Monte Carlo simulation 2 Monte-Carlo-Simulation 2 Neural networks 2 Neuronale Netze 2 Sampling 2 Schätzung 2 Stichprobenerhebung 2 Stochastic Volatility 2 Variational Inference 2 Vector Autoregression 2 Volatility 2 Volatilität 2 purchase history data 2 Bayesian consistency 1
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Online availability
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Free 12
Type of publication
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Book / Working Paper 8 Article 4
Type of publication (narrower categories)
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Graue Literatur 8 Non-commercial literature 8 Arbeitspapier 6 Working Paper 6 Article in journal 3 Aufsatz in Zeitschrift 3 Article 1 Hochschulschrift 1
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Language
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English 12
Author
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Forbes, Catherine Scipione 2 Frazier, David T. 2 Gefang, Deborah 2 Koop, Gary 2 Loiza-Maya, Ruben 2 Martin, Gael M. 2 Panagiotelis, Anastasios 2 Poon, Aubrey 2 Tomasetti, Nathaniel 2 Avanzi, Benjamin 1 Badescu, Andrei L. 1 Bernardi, Mauro 1 Bianchi, Daniele 1 Bianco, Nicolas 1 Chan, Ian Weng 1 Dold, Danil 1 Donkers, Bas 1 Dürr, Oliver 1 Fok, Dennis 1 Fung, Tsz Chai 1 Hörtling, Stefan 1 Jacobs, Bruno 1 Jacobs, Bruno Julian David 1 Koo, Bonsoo 1 Kovylov, Ivonne 1 Lin, X. Sheldon 1 Sick, Beate 1 Taylor, Greg 1 Tseung, Spark C. 1 Wang, Melantha 1 Wong, Bernard 1
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Published in...
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Working paper / Department of Econometrics and Business Statistics, Monash University 4 ASTIN bulletin : the journal of the International Actuarial Association 1 AStA Advances in Statistical Analysis 1 CAMA working paper series 1 ERIM Ph. D. series research in management / Erasmus Institute of Management 1 ERIM report series research in management 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 The journal of risk & insurance 1 Working paper 1
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Source
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ECONIS (ZBW) 11 EconStor 1
Showing 1 - 10 of 12
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Bernstein flows for flexible posteriors in variational Bayes
Dürr, Oliver; Hörtling, Stefan; Dold, Danil; Kovylov, … - In: AStA Advances in Statistical Analysis 108 (2024) 2, pp. 375-394
Black-box variational inference (BBVI) is a technique to approximate the posterior of Bayesian models by optimization …-of-the-art BBVI approaches often yield unsatisfactory posterior approximations. This paper presents Bernstein flow variational … inference (BF-VI), a robust and easy-to-use method flexible enough to approximate complex multivariate posteriors. BF …
Persistent link: https://www.econbiz.de/10015361298
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Variational inference for large Bayesian vector autoregressions
Bernardi, Mauro; Bianchi, Daniele; Bianco, Nicolas - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 3, pp. 1066-1082
Persistent link: https://www.econbiz.de/10015053533
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Machine learning with high-cardinality categorical features in actuarial applications
Avanzi, Benjamin; Taylor, Greg; Wang, Melantha; Wong, … - In: ASTIN bulletin : the journal of the International … 54 (2024) 2, pp. 213-238
Persistent link: https://www.econbiz.de/10015055285
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Improving risk classification and ratemaking using mixture-of-experts models with random effects
Tseung, Spark C.; Chan, Ian Weng; Fung, Tsz Chai; … - In: The journal of risk & insurance 90 (2023) 3, pp. 789-820
Persistent link: https://www.econbiz.de/10014364572
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Variational Bayes in state space models : inferential and predictive accuracy
Frazier, David T.; Loiza-Maya, Ruben; Martin, Gael M. - 2022
Persistent link: https://www.econbiz.de/10013193949
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Loss-based variational Bayes prediction
Frazier, David T.; Loiza-Maya, Ruben; Martin, Gael M.; … - 2021
Persistent link: https://www.econbiz.de/10012614593
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Understanding large-scale dynamic purchase behavior
Jacobs, Bruno; Fok, Dennis; Donkers, Bas - 2020
Persistent link: https://www.econbiz.de/10012316526
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Updating variational Bayes : fast sequential posterior inference
Tomasetti, Nathaniel; Forbes, Catherine Scipione; … - 2020
Persistent link: https://www.econbiz.de/10012608357
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Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - 2019
Persistent link: https://www.econbiz.de/10012115020
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Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - 2019
Persistent link: https://www.econbiz.de/10012223665
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