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  • Search: subject:"Predictive inference"
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Year of publication
Subject
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Predictive inference 8 Nonparametric predictive inference 6 Forecasting model 5 Prognoseverfahren 5 Bayesian inference 4 Exchangeability 4 Nichtparametrisches Verfahren 4 Probability theory 4 Wahrscheinlichkeitsrechnung 4 nonparametric predictive inference 4 Bayesian predictive inference 3 Central limit theorem 3 Conditional identity in distribution 3 Empirical distribution 3 Multivariate tail dependence 3 Nonparametric statistics 3 Option pricing theory 3 Option trading 3 Optionsgeschäft 3 Optionspreistheorie 3 Portfolio protection 3 Predictive distribution 3 Robust optimization 3 Stable convergence 3 Statistical inference 3 Stochastic process 3 Stochastischer Prozess 3 Theorie 3 Theory 3 predictive inference 3 Bayes-Statistik 2 Bayesian computation 2 Bayesian model averaging 2 Bootstrap approach 2 Bootstrap-Verfahren 2 Estimation theory 2 Imprecise probability 2 Induktive Statistik 2 Markov Chain Monte Carlo 2 Mixture of Experts 2
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Online availability
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Free 12 Undetermined 11 CC license 1
Type of publication
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Article 14 Book / Working Paper 11
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7 Working Paper 4 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 14 Undetermined 11
Author
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Berti, Patrizia 3 Coolen, Frank P.A. 3 Coolen-Maturi, Tahani 3 Crimaldi, Irene 3 Mankaï, Selim 3 Pratelli, Luca 3 Rigo, Pietro 3 Coolen, Frank P. A. 2 Fernandez, Carmen 2 Giordani, Paolo 2 He, Ting 2 Kohn, Robert 2 Ley, Eduardo 2 Nandram, Balgobin 2 Villani, Mattias 2 Yin, Jiani 2 Abellán, Joaquín 1 Aboalkhair, Ahmad M. 1 Augustin, Thomas 1 Baker, Rebecca M. 1 Chen, Junbin 1 Coolen, F. P. A. 1 Coolen, F.P.A. 1 Crossman, Richard J. 1 Diniz, Marcio Alves 1 Elkhafifi, Faiza F. 1 GUESMI, Khaled 1 Guesmi, Khaled 1 Houlding, B. 1 Izbicki, Rafael 1 Jentsch, Carsten 1 Khan, Hafiz M.R. 1 Lopes, Danilo 1 MacPhee, Iain M. 1 Masegosa, Andrés R. 1 Muliere, P. 1 Pfarrhofer, Michael 1 Salasar, Luis Ernesto Bueno 1 Secchi, P. 1 Steel, Mark 1
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Institution
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EconWPA 2 Institut de Préparation à l'Administration et à la Gestion (IPAG) 2 Dipartimento di Scienze Economiche e Aziendali, Università degli Studi di Pavia 1 EconomiX, Université Paris Ouest-Nanterre la Défense (Paris X) 1 Sveriges Riksbank 1
Published in...
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Computational Statistics & Data Analysis 3 Journal of the Operational Research Society 3 Econometrics 2 European Journal of Operational Research 2 Quaderni di Dipartimento 2 Working Papers / Institut de Préparation à l'Administration et à la Gestion (IPAG) 2 Annals of the Institute of Statistical Mathematics 1 Discussion Paper 1 EconomiX Working Papers 1 Insurance : mathematics and economics 1 Journal of economic dynamics & control 1 Pacific-Basin finance journal 1 Quaderni del Dipartimento 1 Statistics in Transition New Series 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Sveriges Riksbank Working Paper Series 1 Working Paper Series / Sveriges Riksbank 1
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Source
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RePEc 13 ECONIS (ZBW) 8 EconStor 4
Showing 1 - 10 of 25
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Bootstrap consistency for the Mack bootstrap
Steinmetz, Julia; Jentsch, Carsten - In: Insurance : mathematics and economics 115 (2024), pp. 83-121
Persistent link: https://www.econbiz.de/10015066731
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An imprecise pricing model for Asian options based on nonparametric predictive inference
He, Ting - In: Pacific-Basin finance journal 77 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014463687
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A Bayesian Small Area Model with Dirichlet Processes on the Responses
Yin, Jiani; Nandram, Balgobin - In: Statistics in Transition New Series 21 (2020) 3, pp. 1-19
skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at … predictive inference. This model has a Gaussian (normal) distribution on the area means, and so we call it the DPG model …. For Bayesian predictive inference, we need to integrate two data sets, one with the responses and other with area sizes …
Persistent link: https://www.econbiz.de/10012600255
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A Bayesian small area model with Dirichlet processes on the responses
Yin, Jiani; Nandram, Balgobin - In: Statistics in transition : an international journal of … 21 (2020) 3, pp. 1-19
skewed. Usually, in small area estimation, predictive inference is done using a two-stage Bayesian model with normality at … predictive inference. This model has a Gaussian (normal) distribution on the area means, and so we call it the DPG model …. For Bayesian predictive inference, we need to integrate two data sets, one with the responses and other with area sizes …
Persistent link: https://www.econbiz.de/10012291514
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Modeling tail risks of inflation using unobserved component quantile regressions
Pfarrhofer, Michael - In: Journal of economic dynamics & control 143 (2022), pp. 1-19
Persistent link: https://www.econbiz.de/10013543015
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Comparing probabilistic predictive models applied to football
Diniz, Marcio Alves; Izbicki, Rafael; Lopes, Danilo; … - In: Journal of the Operational Research Society 70 (2019) 5, pp. 770-782
Persistent link: https://www.econbiz.de/10012212951
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On nonparametric predictive inference for asset and European option trading in the binomial tree model
Chen, Junbin; Coolen, Frank P. A.; Coolen-Maturi, Tahani - In: Journal of the Operational Research Society 70 (2019) 10, pp. 1678-1691
Persistent link: https://www.econbiz.de/10012214367
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Nonparametric predictive inference for European option pricing based on the binomial tree model
He, Ting; Coolen, Frank P. A.; Coolen-Maturi, Tahani - In: Journal of the Operational Research Society 70 (2019) 10, pp. 1692-1708
Persistent link: https://www.econbiz.de/10012214368
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Robust Portfolio Protection: A Scenarios-Based Approach
Mankaï, Selim; Guesmi, Khaled - Institut de Préparation à l'Administration et à la … - 2014
This paper constructs a robust optimization framework of the uncertain worst-case return. The model defines an adjustable discrete uncertainty set which controls the conservatism of the optimal asset allocation. Without prior assumptions on the data generating process, the model also develops an...
Persistent link: https://www.econbiz.de/10010786598
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Data-Driven Robust Optimization with Application to Portfolio Management
Mankaï, Selim - Institut de Préparation à l'Administration et à la … - 2014
Portfolio optimization results are strongly dependent on the model parameters. To circumvent this shortcoming, this paper proposes a new modeling approach to address data uncertainty. The model offers full control over the degree of conservatism and underlines its interaction with robustness for...
Persistent link: https://www.econbiz.de/10010860464
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