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  • Search: subject:"Gaussian kernel"
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Year of publication
Subject
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Theorie 5 Theory 5 Gaussian kernel 4 Estimation theory 3 Gaussian Kernel 3 Schätztheorie 3 13-term Henderson filter 2 Forecasting model 2 Loess 2 Markov chain Monte Carlo 2 Nichtparametrisches Verfahren 2 Nonparametric statistics 2 Production Economics 2 Prognoseverfahren 2 Regression analysis 2 Regressionsanalyse 2 Statistical distribution 2 Statistische Verteilung 2 Stochastic process 2 Stochastischer Prozess 2 cubic smoothing spline 2 nonparametric derivatives 2 nonparametric regression 2 optimization techniques 2 production function 2 symmetric and asymmetric weights 2 Adjusted Fit 1 Advertising 1 Advertising effects 1 Algorithm 1 Algorithmus 1 Annealed Glowworm optimization scheduling 1 Artificial intelligence 1 Asymmetry 1 Australia 1 Bayes factors 1 Bayes-Statistik 1 Bayesian inference 1 Big Data 1 Big data 1
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Online availability
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Free 11 Undetermined 9 CC license 1
Type of publication
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Article 14 Book / Working Paper 6 Other 1
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 12 English 9
Author
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Dagum, Estela 2 Livanis, Grigorios T. 2 Luati, Alessandra 2 Moss, Charles B. 2 SCAILLET, Olivier 2 Salois, Matthew J. 2 Ali, Amel Ibrahim Al 1 Arsov, Ivailo 1 Bertuccelli, P. 1 Brooks, Matthew 1 Bruce, Norris I. 1 Czasonis, Megan 1 FERNANDES, Marcelo 1 Gandomi, Amir H. 1 Geniaux, Ghislain 1 Guo, Chonghui 1 Guo, Jia 1 Hanne, Thomas 1 Herrera, Luis Javier 1 Kallam, Suresh 1 Khedr, Ahmed M. 1 King, Maxwell L. 1 Kosev, Mitch 1 Kritzman, Mark 1 Kulasekaran, Cel 1 MENDES, Eduardo F. 1 Malugin, Vladimir 1 Manjula, S. 1 Mucciardi, M. 1 Otranto, E. 1 Patan, Rizwan 1 Pomares, Héctor 1 Ramachandran, Manikandan 1 Rojas, Ignacio 1 Rubio, Ginés 1 Shang, Han 1 Sheeja Rani S 1 Suganthy, M. 1 Turkington, David 1 Vasilkov, Mikhail 1
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Institution
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Agricultural Economics Society - AES 1 Centro Ricerche Nord Sud (CRENoS) 1 Department of Econometrics and Business Statistics, Monash Business School 1 Institut de Recherche Économique et Sociale (IRES), École des Sciences Économiques de Louvain 1
Published in...
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Studies in Nonlinear Dynamics & Econometrics 2 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 1 Applied Econometrics 1 Computational Statistics 1 Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 1 International Journal of Forecasting 1 International journal of information technology and management : IJITM 1 Journal of econometrics 1 Journal of geographical systems : geographical information, analysis, theory, and decision 1 Journal of marketing research 1 Journal of open innovation : technology, market, and complexity 1 Journal of the Operational Research Society 1 Monash Econometrics and Business Statistics Working Papers 1 Physica A: Statistical Mechanics and its Applications 1 RBA Bulletin 1 Sloan working papers 1 Swiss Finance Institute Research Paper Series 1 Transportation science : a journal of the Institute for Operations Research and the Management Sciences 1 Working Paper CRENoS 1
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Source
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RePEc 12 ECONIS (ZBW) 8 BASE 1
Showing 11 - 20 of 21
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Nonparametric analysis of stochastic systems with nonlinear functional heterogeneity
Malugin, Vladimir; Vasilkov, Mikhail - In: Applied Econometrics 22 (2011) 2, pp. 78-92
The problems of the analysis of stochastic systems described by nonlinear statistical models with heterogeneous functional forms are considered in the space of «essential dependent» features. It is supposed that functional heterogeneity is conditioned by the existing of the different classes...
Persistent link: https://www.econbiz.de/10009140903
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Density Estimation Using Inverse and Reciprocal Inverse Guassian Kernels
SCAILLET, Olivier - Institut de Recherche Économique et Sociale (IRES), … - 2001
This paper introduces two new nonparametric estimators for probability density functions which have support on the non-negative half-line. These kernel estimators are based on some inverse Gaussian and reciprocal inverse Gaussian probability density functions used as kernels. We show that they...
Persistent link: https://www.econbiz.de/10004985341
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A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology
Livanis, Grigorios T.; Salois, Matthew J.; Moss, Charles B. - 2009
The issue of production function estimation has received recent attention, particularly in agricultural economics with the advent of precision farming. Yet, the evidence to date is far from unanimous on theproper form of the production function. This paper reexamines the use ofthe primal...
Persistent link: https://www.econbiz.de/10009444809
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A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology
Livanis, Grigorios T.; Salois, Matthew J.; Moss, Charles B. - Agricultural Economics Society - AES - 2009
The issue of production function estimation has received recent attention, particularly in agricultural economics with the advent of precision farming. Yet, the evidence to date is far from unanimous on the proper form of the production function. This paper reexamines the use of the primal...
Persistent link: https://www.econbiz.de/10004964507
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Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density
Shang, Han - In: Computational Statistics 29 (2014) 3, pp. 829-848
In the context of semi-functional partial linear regression model, we study the problem of error density estimation. The unknown error density is approximated by a mixture of Gaussian densities with means being the individual residuals, and variance a constant parameter. This mixture error...
Persistent link: https://www.econbiz.de/10010847818
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A Gaussian kernel-based approach for modeling vehicle headway distributions
Zhang, Guohui; Wang, Yinhai - In: Transportation science : a journal of the Institute for … 48 (2014) 2, pp. 206-216
Persistent link: https://www.econbiz.de/10010367188
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Community structure discovery method based on the Gaussian kernel similarity matrix
Guo, Chonghui; Zhao, Haipeng - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 6, pp. 2268-2278
academic research has become one of the hot spots. Based on the Gaussian kernel similarity matrix and spectral bisection, this … paper proposes a new community structure discovery method. First, by adjusting the Gaussian kernel parameter to change the … the largest relatively. Second, the changes of the Gaussian kernel parameter would lead to the unstable nodes jumping off …
Persistent link: https://www.econbiz.de/10010873714
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A heuristic method for parameter selection in LS-SVM: Application to time series prediction
Rubio, Ginés; Pomares, Héctor; Rojas, Ignacio; … - In: International Journal of Forecasting 27 (2011) 3, pp. 725-739
paper a heuristic method for setting both the σ parameter of the Gaussian kernel and the regularization hyperparameter based …
Persistent link: https://www.econbiz.de/10011051478
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Relationship between Local and Global Nonparametric Estimators Measures of Fitting and Smoothing
Dagum, Estela; Luati, Alessandra - In: Studies in Nonlinear Dynamics & Econometrics 8 (2007) 2, pp. 1204-1204
estimators, Loess of degree 1 and 2, the cubic smoothing spline, the Gaussian kernel, and the 13-term Henderson filter.Our aim is …
Persistent link: https://www.econbiz.de/10004966184
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Testing for Symmetry and Conditional Symmetry Using Asymmetric Kernels
FERNANDES, Marcelo; MENDES, Eduardo F.; SCAILLET, Olivier
We derive nonparametric tests of symmetry using asymmetric kernels with either shrinking or fixed bandwidths. We show how to extend the approach to examine conditional symmetry by deriving conditions under which our tests are applicable to residuals from semiparametric models with a...
Persistent link: https://www.econbiz.de/10010550296
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