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  • Search: subject:"generative model"
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Year of publication
Subject
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generative model 5 Theorie 4 Theory 4 Bayes-Statistik 2 Bayesian inference 2 Artificial intelligence 1 Automobile insurance 1 Bayesian nonparametric model 1 Business model 1 CAPM 1 Capital income 1 Capital market returns 1 Cryptocurrency 1 Experience rating 1 Generative model 1 Insurance 1 Kapitaleinkommen 1 Kapitalmarktrendite 1 Kfz-Versicherung 1 Künstliche Intelligenz 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Machine Learning and Data Science 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Multi-armed bandit 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Portfolio blending 1 Portfolio construction 1 Portfolio selection 1 Portfolio-Management 1 Reinsurance 1 Rückversicherung 1 Sampling 1 Statistical distribution 1 Statistische Verteilung 1 Stichprobenerhebung 1
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Online availability
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Free 6 CC license 2
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 5 Undetermined 1
Author
All
Bernegger, Stefan 1 Bezbradica, Marija 1 Chen, Kan 1 Chen, Yuxin 1 Cheng, Tuoyuan 1 Chi, Yuejie 1 Crane, Martin 1 Kawamata, Yuji 1 Kim, Minkun 1 Li, Gen 1 Lindberg, David 1 Mashiko, Sota 1 Motai, Ryoki 1 Okada, Yukihiko 1 Seelos, Christian 1 Shin, Ryota 1 Wei, Yuting 1
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Institution
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IESE Business School, Universidad de Navarra 1
Published in...
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ASTIN bulletin : the journal of the International Actuarial Association 1 Econometrics : open access journal 1 IESE Research Papers 1 Operations research 1 The Journal of finance and data science : JFDS 1
Source
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ECONIS (ZBW) 5 RePEc 1
Showing 1 - 6 of 6
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Generating synthetic journal-entry data using variational autoencoder
Motai, Ryoki; Mashiko, Sota; Kawamata, Yuji; Shin, Ryota; … - 2025
Persistent link: https://www.econbiz.de/10015374607
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Generic framework for a coherent integration of experience and exposure rating in reinsurance
Bernegger, Stefan - In: ASTIN bulletin : the journal of the International … 54 (2024) 3, pp. 518-545
Persistent link: https://www.econbiz.de/10015154558
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Breaking the sample size barrier in model-based reinforcement learning with a generative model
Li, Gen; Wei, Yuting; Chi, Yuejie; Chen, Yuxin - In: Operations research 72 (2024) 1, pp. 203-221
Persistent link: https://www.econbiz.de/10014505071
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Dirichlet process log skew-normal mixture with a missing-at-random-covariate in insurance claim analysis
Kim, Minkun; Lindberg, David; Crane, Martin; … - In: Econometrics : open access journal 11 (2023) 4, pp. 1-32
In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to eliminate the risk of model...
Persistent link: https://www.econbiz.de/10014507911
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A general framework for portfolio construction based on generative models of asset returns
Cheng, Tuoyuan; Chen, Kan - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-21
-performance computing capabilities. We first explore diverse pairings of generative model forecasts and objective functions used for … portfolios constructed using the vine-copula generative model and the Sharpe-ratio objective function consistently outperform. To … portfolios over their benchmarks significantly surpasses that achieved by individual generative model-based portfolios over their …
Persistent link: https://www.econbiz.de/10014514017
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Theorizing and strategizing with models: Generative models of business models
Seelos, Christian - IESE Business School, Universidad de Navarra - 2010
illustrative case study, we develop a generative model that accounts for the social mechanisms that explain how business models …
Persistent link: https://www.econbiz.de/10008641469
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