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  • Search: subject:"K-nearest neighbor regression"
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Year of publication
Subject
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Euro area 3 Forecast 3 GDP 3 VAR 3 K-nearest neighbor regression 2 artificial nesting 2 asymptotic normality 2 economic indicators 2 multivariate k-nearest neighbor regression 2 nonested hypothesis 2 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Asymptotic normality 1 Business Tendency Surveys 1 Economic indicators 1 Estimation theory 1 K-Nearest Neighbor regression 1 Künstliche Intelligenz 1 Lasso regression 1 Multivariate k nearest neighbor regression 1 Regression analysis 1 Regressionsanalyse 1 Ridge regression 1 Schätztheorie 1 Tinnitus 1 balance of opinion 1 k-nearest neighbor regression 1 manufactured production 1 multiple linear regression 1 random forecasts 1 short-term forecasting 1
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Online availability
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Free 6 CC license 1 Undetermined 1
Type of publication
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Book / Working Paper 5 Article 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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Undetermined 4 English 3
Author
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Guegan, Dominique 3 Rakotomarolahy, Patrick 3 Delgado, Miguel A. 2 Stengos, Thanasis 2 Agyemang, Edmund Fosu 1 Biau, Gérard 1 Biau, Olivier 1 Rouvière, Laurent 1
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Institution
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HAL 2 Centre d'Économie de la Sorbonne, Université Paris 1 (Panthéon-Sorbonne) 1 Economics Department, Queen's University 1
Published in...
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Post-Print / HAL 2 Documents de travail du Centre d'Economie de la Sorbonne 1 Journal of Business Cycle Measurement and Analysis 1 Queen's Economics Department Working Paper 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Working Papers / Economics Department, Queen's University 1
Source
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RePEc 5 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 7 of 7
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Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms
Agyemang, Edmund Fosu - In: Statistics in transition : an international journal of … 25 (2024) 4, pp. 51-77
Statistics in Transition new series vol.25, 2024, 4, Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms, DOI https://doi.org/10.59139/stattrans-2024-003, Edmund Fosu Agyemang
Persistent link: https://www.econbiz.de/10015338081
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Alternative methods for forecasting GDP
Guegan, Dominique; Rakotomarolahy, Patrick - HAL - 2010
nearest neighbor method. We prove also the asymptotic normality of the multivariate k-nearest neighbor regression estimator …
Persistent link: https://www.econbiz.de/10010603668
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Alternative methods for forecasting GDP.
Guegan, Dominique; Rakotomarolahy, Patrick - Centre d'Économie de la Sorbonne, Université Paris 1 … - 2010
nearest neighbor method. We prove also the asymptotic normality of the multivariate k-nearest neighbor regression estimator …
Persistent link: https://www.econbiz.de/10008461116
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Alternative methods for forecasting GDP
Guegan, Dominique; Rakotomarolahy, Patrick - HAL - 2010
nearest neighbor method. We prove also the asymptotic normality of the multivariate k-nearest neighbor regression estimator …
Persistent link: https://www.econbiz.de/10010603674
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Nonparametric Forecasting of the Manufacturing Output Growth with Firm-level Survey Data
Biau, Gérard; Biau, Olivier; Rouvière, Laurent - In: Journal of Business Cycle Measurement and Analysis 2007 (2007) 3, pp. 317-331
A large majority of summary indicators derived from the individual responses to qualitative Business Tendency Surveys (which are mostly three-modality questions) result from standard aggregation and quantification methods. This is typically the case for the indicators called balances of opinion,...
Persistent link: https://www.econbiz.de/10008492391
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Semiparametric Specification Testing
Delgado, Miguel A.; Stengos, Thanasis - 1990
We propose a specification test of a parametrically specified model against a weakly specified alternative. The latter is estimated using K nonparametric nearest neighbors (K-NN) in the context of an artificial regression. We derived the asymptotic distribution under the null hypothesis and...
Persistent link: https://www.econbiz.de/10011940442
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Semiparametric Specification Testing
Delgado, Miguel A.; Stengos, Thanasis - Economics Department, Queen's University - 1990
We propose a specification test of a parametrically specified model against a weakly specified alternative. The latter is estimated using K nonparametric nearest neighbors (K-NN) in the context of an artificial regression. We derived the asymptotic distribution under the null hypothesis and...
Persistent link: https://www.econbiz.de/10005787788
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