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  • Search: subject:"Hyperparameters"
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Year of publication
Subject
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Theorie 13 Theory 13 Bayes-Statistik 10 Bayesian inference 10 Hyperparameters 9 Bayesian 7 Markov chain Monte Carlo 7 Metropolis-Hastings algorithm 7 Time series analysis 7 Zeitreihenanalyse 7 Forecasting model 6 Prognoseverfahren 6 VAR model 5 VAR-Modell 5 Vector autoregressive models 5 Artificial intelligence 4 Gibbs sampling 4 Künstliche Intelligenz 4 hyper-parameters 4 hyperparameters 4 marginal likelihood 4 optimal hyperparameters 4 Algorithm 3 Algorithmus 3 Dynamic 3 Impulse response 3 Markov chain 3 Markov-Kette 3 Mathematical programming 3 Mathematische Optimierung 3 Monte Carlo simulation 3 Monte-Carlo-Simulation 3 Neural networks 3 Neuronale Netze 3 structural VAR 3 Aktienindex 2 Conjugate priors 2 Hyperparameters optimization 2 Markov random fields 2 Optimized hyperparameters 2
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Online availability
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Free 18 Undetermined 10 CC license 4
Type of publication
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Article 19 Book / Working Paper 12
Type of publication (narrower categories)
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Article in journal 12 Aufsatz in Zeitschrift 12 Working Paper 8 Graue Literatur 7 Non-commercial literature 7 Arbeitspapier 5 Article 2
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Language
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English 23 Undetermined 6 Spanish 2
Author
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Gamerman, Dani 7 Chan, Joshua 4 Moreira, Ajax 4 Moreira, Ajax Reynaldo Bello 3 Cangrejo Esquivel, Alvaro Javier 2 Castillo, Enrique 2 García, Isabel Cristina 2 Manotas Duque, Diego Fernando 2 Rue, Håvard 2 Tovar Cuevas, José Rafael 2 Agarwal, Sonali 1 Archetti, Francesco 1 Ashok, B. 1 Bengio, Yoshua 1 Bindulal, T. S. 1 Calviño, Aida 1 Candelieri, Antonio 1 Donnet, Sophie 1 Dugas, Charles 1 El Moutaouakil, Karim 1 Galuzzi, B. G. 1 Giordani, I. 1 Guleryuz, Didem 1 Haddouch, Khalid 1 Herrera, Luis Javier 1 Isamot, Omodolapo Waliyat 1 Jacobi, Liana 1 Jiménez, Pilar 1 Jing, Lu 1 Khan, Jwaad Akhtar 1 Kim, Gilwhan 1 Lee, Sik-Yum 1 Li, Baode 1 Li, Jing 1 Lin, Winston T. 1 Lu, Han 1 Menéndez, José 1 Menéndez, José María 1 Mupra, P. Ranjini 1 Nogal, María 1
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Institution
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Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Université Paris-Dauphine (Paris IX) 1
Published in...
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Discussion Paper 3 Discussion paper 3 Annals of the Institute of Statistical Mathematics 2 CAMA working paper series 2 Opsearch : journal of the Operational Research Society of India 2 CIRANO Working Papers 1 Computational economics 1 Computational management science 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 Economics Papers from University Paris Dauphine 1 International Journal of Forecasting 1 International journal of production research 1 Maritime policy & management 1 Quantitative Economics 1 Quantitative economics : QE ; journal of the Econometric Society 1 Revista de Métodos Cuantitativos para la Economía y la Empresa 1 Revista de métodos cuantitativos para la economía y la empresa 1 Statistical Applications in Genetics and Molecular Biology 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Texto para discussão / Instituto de Pesquisa Econômica Aplicada 1 Theoretical economics letters 1 Transportation 1 Working papers 1
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Source
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ECONIS (ZBW) 19 RePEc 7 EconStor 5
Showing 1 - 10 of 31
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An optimized ensemble model for predicting average localization error of wireless sensor networks
Nti, Isaac Kofi; Rout, Sidharth Sankar; Yeboah, Jones - 2024
localization error of wireless sensor networks. We used the random forest algorithm with optimized hyperparameters from different …
Persistent link: https://www.econbiz.de/10015414475
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The hybrid forecast of S&P 500 volatility ensembled from VIX, GARCH and LSTM models
Roszyk, Natalia; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de/10014634883
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Hyper-parametric Generalized Autoregressive Scores (GASs) : an application to the price of United States cooking gas
Olanrewaju, Rasaki Olawale; Olanrewaju, Sodiq Adejare; … - In: Statistics in transition : an international journal of … 24 (2023) 4, pp. 93-107
conditional densities of different time-varying hyperparameters. The distinctive trait and goal of the observation-driven GAS … model is to use its score and information functions as the compeller of time-variation via hyper-parameters of conditional …
Persistent link: https://www.econbiz.de/10015114993
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Seeker optimization with mask RCNN based efficient model for Covid-19 detection and severity analysis using CT images
Mupra, P. Ranjini; Ashok, B.; Bindulal, T. S. - In: Opsearch : journal of the Operational Research Society … 62 (2025) 2, pp. 985-1005
Persistent link: https://www.econbiz.de/10015532938
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Asymmetric conjugate priors for large Bayesian VARs
Chan, Joshua - In: Quantitative Economics 13 (2022) 3, pp. 1145-1169
Large Bayesian VARs are now widely used in empirical macroeconomics. One popular shrinkage prior in this setting is the natural conjugate prior as it facilitates posterior simulation and leads to a range of useful analytical results. This is, however, at the expense of modeling flexibility, as...
Persistent link: https://www.econbiz.de/10014536987
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Estimación clásica y bayesiana de la volatilidad en el modelo de Black-Scholes
Cangrejo Esquivel, Alvaro Javier; Tovar Cuevas, José Rafael - In: Revista de Métodos Cuantitativos para la Economía y … 34 (2022), pp. 237-262
The valuation of options and to a large extent the financial derivatives market require an optimal estimation of the volatility, since this is precisely the variable that is negotiated. We present then a statistical methodology for the estimation of the volatility parameter for an asset using...
Persistent link: https://www.econbiz.de/10014494469
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Asymmetric conjugate priors for large Bayesian VARs
Chan, Joshua - In: Quantitative economics : QE ; journal of the … 13 (2022) 3, pp. 1145-1169
Large Bayesian VARs are now widely used in empirical macroeconomics. One popular shrinkage prior in this setting is the natural conjugate prior as it facilitates posterior simulation and leads to a range of useful analytical results. This is, however, at the expense of modeling flexibility, as...
Persistent link: https://www.econbiz.de/10013382075
Saved in:
Cover Image
Estimación clásica y bayesiana de la volatilidad en el modelo de Black-Scholes
Cangrejo Esquivel, Alvaro Javier; Tovar Cuevas, José Rafael - In: Revista de métodos cuantitativos para la economía y … 34 (2022), pp. 237-262
The valuation of options and to a large extent the financial derivatives market require an optimal estimation of the volatility, since this is precisely the variable that is negotiated. We present then a statistical methodology for the estimation of the volatility parameter for an asset using...
Persistent link: https://www.econbiz.de/10013486201
Saved in:
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Optimizing hyperparameters in Hopfield neural networks using evolutionary search
Rbihou, Safae; Haddouch, Khalid; El Moutaouakil, Karim - In: Opsearch : journal of the Operational Research Society … 61 (2024) 3, pp. 1245-1273
Persistent link: https://www.econbiz.de/10015127286
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Hyperparameter optimization for recommender systems through Bayesian optimization
Galuzzi, B. G.; Giordani, I.; Candelieri, Antonio; … - In: Computational management science 17 (2020) 4, pp. 495-515
Persistent link: https://www.econbiz.de/10012486977
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