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  • Search: subject:"variational inference"
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Year of publication
Subject
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Bayes-Statistik 15 Bayesian inference 15 Estimation theory 12 Forecasting model 12 Prognoseverfahren 12 Schätztheorie 12 Variational inference 11 Theorie 10 Theory 10 variational inference 10 Induktive Statistik 9 Statistical inference 9 Time series analysis 7 Zeitreihenanalyse 7 Consumer behaviour 6 Estimation 6 Forecasting 6 Konsumentenverhalten 6 VAR model 6 VAR-Modell 6 Volatility 6 Volatilität 6 Artificial intelligence 5 Künstliche Intelligenz 5 Schätzung 5 Monte Carlo simulation 4 Monte-Carlo-Simulation 4 Variational Inference 3 purchase history data 3 Clustering 2 Dirichlet Process Mixture 2 Hierarchical Prior 2 Hierarchical prior 2 Importance Sampling 2 Neural networks 2 Neuronale Netze 2 Poisson factorization 2 Sampling 2 State space model 2 Stichprobenerhebung 2
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Online availability
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Undetermined 15 Free 12
Type of publication
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Article 18 Book / Working Paper 9
Type of publication (narrower categories)
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Article in journal 17 Aufsatz in Zeitschrift 17 Graue Literatur 9 Non-commercial literature 9 Arbeitspapier 7 Working Paper 7 Article 1 Hochschulschrift 1
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Language
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English 27
Author
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Gefang, Deborah 4 Koop, Gary 4 Loiza-Maya, Ruben 4 Poon, Aubrey 4 Donkers, Bas 2 Fok, Dennis 2 Forbes, Catherine Scipione 2 Frazier, David T. 2 Jacobs, Bruno 2 Martin, Gael M. 2 Panagiotelis, Anastasios 2 Tomasetti, Nathaniel 2 Toubia, Olivier 2 Athey, Susan 1 Avanzi, Benjamin 1 Badescu, Andrei L. 1 Bernardi, Mauro 1 Bianchi, Daniele 1 Bianco, Nicolas 1 Blei, David 1 Brown, Susan A. 1 Chan, Ian Weng 1 Danaher, Peter J. 1 Dold, Danil 1 Donnelly, Robert 1 Dürr, Oliver 1 Fan, Yangyang 1 Fernández-Villaverde, Jesús 1 Fung, Tsz Chai 1 Guerrón-Quintana, Pablo A. 1 Gunawan, David 1 Hill, Shawndra 1 Hörtling, Stefan 1 Jacobs, Bruno Julian David 1 Kohn, Robert 1 Koo, Bonsoo 1 Kovylov, Ivonne 1 Li, Zhiwu 1 Lin, X. Sheldon 1 Liu, Hongyan 1
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Published in...
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Working paper / Department of Econometrics and Business Statistics, Monash University 4 Information systems research : ISR 2 International journal of forecasting 2 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 2 ASTIN bulletin : the journal of the International Actuarial Association 1 AStA Advances in Statistical Analysis 1 CAMA working paper series 1 Discussion papers / CEPR 1 ERIM Ph. D. series research in management / Erasmus Institute of Management 1 ERIM report series research in management 1 Economics letters 1 INFORMS journal on computing : JOC 1 Journal of econometrics 1 Journal of forecasting 1 Journal of marketing research 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1 Marketing science 1 Public choice 1 Quantitative marketing and economics : QME 1 The journal of risk & insurance 1 Working paper 1
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Source
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ECONIS (ZBW) 26 EconStor 1
Showing 1 - 10 of 27
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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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Ensemble multitask prediction of air pollutants time series : based on variational inference, data projection, and generative adversarial network
Wang, Kang; Qu, Chao; Wang, Jianzhou; Li, Zhiwu; Lu, Haiyan - In: Journal of forecasting 44 (2025) 2, pp. 646-675
Persistent link: https://www.econbiz.de/10015374075
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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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Fast variational Bayes methods for multinomial probit models
Loiza-Maya, Ruben; Nibbering, Didier - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 4, pp. 1352-1363
Persistent link: https://www.econbiz.de/10014448653
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Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - In: International journal of forecasting 39 (2023) 1, pp. 346-363
Persistent link: https://www.econbiz.de/10014462786
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sDTM: a supervised Bayesian deep topic model for text analytics
Yang, Yi; Zhang, Kunpeng; Fan, Yangyang - In: Information systems research : ISR 34 (2023) 1, pp. 137-156
Persistent link: https://www.econbiz.de/10014323405
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