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  • Search: subject:"discretely observed diffusion processes"
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Year of publication
Subject
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discretely observed diffusion processes 3 model selection 2 oracle properties 2 random fields 2 stochastic differential equations 2 Analysis 1 Clustering of time series 1 Estimation theory 1 Innovation diffusion 1 Innovationsdiffusion 1 Mathematical analysis 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Schätztheorie 1 Stochastic process 1 Stochastischer Prozess 1 financial assets 1 markov processes 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 2 English 1
Author
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Gregorio, Alessandro De 2 Iacus, Stefano 2 De Gregorio, Alessandro 1 Iacus, Stefano Maria 1
Institution
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Dipartimento di Economia, Management e Metodi Quantitativi (DEMM), Università degli Studi di Milano 2
Published in...
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UNIMI - Research Papers in Economics, Business, and Statistics 2 Working papers / Università degli Studi di Milano, Dipartimento di Scienze Economiche, Aziendali e Statistiche 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Adaptive LASSO-type estimation for ergodic diffusion processes
Gregorio, Alessandro De; Iacus, Stefano - Dipartimento di Economia, Management e Metodi … - 2010
The LASSO is a widely used statistical methodology for simultaneous estimation and variable selection. In the last years, many authors analyzed this technique from a theoretical and applied point of view. We introduce and study the adaptive LASSO problem for discretely observed ergodic diffusion...
Persistent link: https://www.econbiz.de/10009324401
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Cover Image
Adaptive LASSO-type estimation for ergodic diffusion processes
Iacus, Stefano Maria; De Gregorio, Alessandro - 2010
Persistent link: https://www.econbiz.de/10011752309
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Clustering of discretely observed diffusion processes
Gregorio, Alessandro De; Iacus, Stefano - Dipartimento di Economia, Management e Metodi … - 2008
In this paper a new dissimilarity measure to identify groups of assets dynamics is proposed. The underlying generating process is assumed to be a diffusion process solution of stochastic differential equations and observed at discrete time. The mesh of observations is not required to shrink to...
Persistent link: https://www.econbiz.de/10009324418
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