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  • Search: subject:"Smoothing techniques"
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Year of publication
Subject
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Smoothing techniques 5 smoothing techniques 4 Asymmetric Moving Average 2 Asymptotic properties 2 Kernels 2 Robust estimation 2 generalized total variance 2 nonlinear multivariate analysis 2 principal components 2 Canada 1 Cluster analysis 1 Convolution 1 EU countries 1 EU-Staaten 1 Electric power industry 1 Electricity 1 Electricity markets 1 Electricity price 1 Elektrizität 1 Elektrizitätswirtschaft 1 European and barrier options 1 Fixed points 1 GAMs 1 Generalized partly linear single-index models 1 Hourly price forward curves 1 Markov chain 1 Markov chain approximation 1 Markov-Kette 1 Moyennes mobiles asymétriques / Asymmetric Moving Average 1 Méthode de lissage / Smoothing techniques 1 Nonlinear programming 1 Nonparametric generalized regression 1 Nonsmooth optimization 1 Noyaux / Kernels 1 Option pricing theory 1 Option trading 1 Optionsgeschäft 1 Optionspreistheorie 1 Rate of convergence 1 Seasonality shapes 1
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Online availability
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Undetermined 8 Free 4
Type of publication
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Article 11 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Conference paper 1 Konferenzbeitrag 1
Language
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Undetermined 8 English 4 French 1
Author
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Delicado, Pedro 3 Boente, Graciela 2 Vasyechko, Olga 2 Bagirov, A. 1 Bianco, Ana M. 1 Grun Rehomme, M. 1 Grun-Rehomme, Michel 1 Haghiri, Morteza 1 Kiesel, Rüdiger 1 Law, Stephen M. 1 Li, Lingfei 1 Nolan, James F. 1 Ordin, B. 1 Ozturk, G. 1 Paraschiv, Florentina 1 Piccarreta, Raffaella 1 Rehomme, Michel Grun 1 Rodriguez, Daniela 1 Río, Manuel del 1 Simchi, Alireza 1 Sombielle, Susana 1 Sætherø, Audun 1 VASYECHKO, OLGA 1 Xavier, A. 1 Zhang, Gongqiu 1
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Institution
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Department of Economics and Business, Universitat Pompeu Fabra 2
Published in...
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Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 2 Brussels Economic Review 1 Brussels economic review 1 Computational Management Science : CMS 1 Computational Optimization and Applications 1 Economics Bulletin 1 International Journal of Data Analysis Techniques and Strategies 1 Journal of Multivariate Analysis 1 Mathematical finance : an international journal of mathematics, statistics and financial economics 1 Sociological Methods & Research 1 Statistics & Probability Letters 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
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Source
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RePEc 10 ECONIS (ZBW) 3
Showing 1 - 10 of 13
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A new smoothing technique for univariate time series: the endpoint problem
Vasyechko, Olga; Rehomme, Michel Grun - In: Economics Bulletin 34 (2014) 3, pp. 1419-1430
Many filters have been developed to estimate trend-cycle component of time series. Among these tools, moving averages remain the most efficient. In particular, while the symmetric Henderson smoother is applied for trend-cycle estimation in software programs such as X11, for the most recent...
Persistent link: https://www.econbiz.de/10010796128
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On the construction of hourly price forward curves for electricity prices
Kiesel, Rüdiger; Paraschiv, Florentina; Sætherø, Audun - In: Computational Management Science : CMS 16 (2019) 1/2, pp. 345-369
Persistent link: https://www.econbiz.de/10011993494
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METHODES DE LISSAGE D’UNE SERIE TEMPORELLE :LE PROBLEME DES EXTREMITES
Grun-Rehomme, Michel; VASYECHKO, OLGA - In: Brussels Economic Review 56 (2013) 2, pp. 163-174
De nombreuses méthodes, basées sur les filtres, ont été développées pour estimer la composantetendance-cycle d’une série temporelle. Parmi ces outils, les moyennes mobiles demeurenttoujours efficaces. En particulier, la moyenne mobile symétrique d’Henderson est appliquéepour estimer...
Persistent link: https://www.econbiz.de/10011115512
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Error analysis of finite difference and Markov chain approximations for option pricing
Li, Lingfei; Zhang, Gongqiu - In: Mathematical finance : an international journal of … 28 (2018) 3, pp. 877-919
Persistent link: https://www.econbiz.de/10011969078
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Methodes de lissage d'une serie temporelle : le probleme des extremites
Grun Rehomme, M.; Vasyechko, Olga - In: Brussels economic review 56 (2013) 2, pp. 143-174
Persistent link: https://www.econbiz.de/10011453631
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An incremental clustering algorithm based on hyperbolic smoothing
Bagirov, A.; Ordin, B.; Ozturk, G.; Xavier, A. - In: Computational Optimization and Applications 61 (2015) 1, pp. 219-241
<Para ID="Par1">Clustering is an important problem in data mining. It can be formulated as a nonsmooth, nonconvex optimization problem. For the most global optimization techniques this problem is challenging even in medium size data sets. In this paper, we propose an approach that allows one to apply local...</para>
Persistent link: https://www.econbiz.de/10011241248
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Comparing non-parametric to parametric interaction terms in generalised additive models: production technology in the Canadian cable television industry
Haghiri, Morteza; Law, Stephen M.; Nolan, James F.; … - In: International Journal of Data Analysis Techniques and … 5 (2013) 3, pp. 229-251
estimated using general spline smoothing techniques. We then test the degree of separability among the inputs using interaction …
Persistent link: https://www.econbiz.de/10010682878
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Robust estimates in generalized partially linear single-index models
Boente, Graciela; Rodriguez, Daniela - In: TEST: An Official Journal of the Spanish Society of … 21 (2012) 2, pp. 386-411
Persistent link: https://www.econbiz.de/10010845896
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Graphical and Smoothing Techniques for Sequence Analysis
Piccarreta, Raffaella - In: Sociological Methods & Research 41 (2012) 2, pp. 362-380
proposal is based upon the application of smoothing techniques, reducing if not completely removing individual noises. The …
Persistent link: https://www.econbiz.de/10011136735
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Robust estimation for nonparametric generalized regression
Bianco, Ana M.; Boente, Graciela; Sombielle, Susana - In: Statistics & Probability Letters 81 (2011) 12, pp. 1986-1994
This paper focuses on nonparametric regression estimation for the parameters of a discrete or continuous distribution, such as the Poisson or Gamma distributions, when anomalous data are present. The proposal is a natural extension of robust methods developed in the setting of parametric...
Persistent link: https://www.econbiz.de/10010571816
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