Πλοήγηση Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics ανά Συγγραφέα "Antoniadis, Anestis"
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Article
Bandwidth selection for functional time series prediction
Antoniadis, Anestis; Paparoditis Efstathios, E.; Sapatinas, Theofanis (2009)We propose a method to select the bandwidth for functional time series prediction. The idea underlying this method is to calculate the empirical risk of prediction using past segments of the observed series and to select ...
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Article
Estimation and inference in functional mixed-effects models
Antoniadis, Anestis; Sapatinas, Theofanis (2007)Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects models in handling complex designs and correlation ...
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Article
A functional wavelet-kernel approach for time series prediction
Antoniadis, Anestis; Paparoditis Efstathios, E.; Sapatinas, Theofanis (2006)We consider the prediction problem of a time series on a whole time interval in terms of its past. The approach that we adopt is based on functional kernel nonparametric regression estimation techniques where observations ...
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Article
Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity
Antoniadis, Anestis; Pensky, Marianna; Sapatinas, Theofanis (2013)
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Article
Nonparametric regression estimation based on spatially inhomogeneous data: Minimax global convergence rates and adaptivity
Antoniadis, Anestis; Pensky, M.; Sapatinas, Theofanis (2014)We consider the nonparametric regression estimation problem of recovering an unknown response function f on the basis of spatially inhomogeneous data when the design points follow a known density g with a finite number of ...
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Article
Wavelet estimators in nonparametric regression: A comparative simulation study
Antoniadis, Anestis; Bigot, J.; Sapatinas, Theofanis (2001)Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as ...
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Article
Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes
Antoniadis, Anestis; Sapatinas, Theofanis (2003)We consider the prediction problem of a continuous-time stochastic process on an entire time-interval in terms of its recent past. The approach we adopt is based on the notion of autoregressive Hilbert processes that ...
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Article
Wavelet shrinkage for natural exponential families with quadratic variance functions
Antoniadis, Anestis; Sapatinas, Theofanis (2001)We propose a wavelet shrinkage methodology for univariate natural exponential families with quadratic variance functions, covering the Gaussian, Poisson, gamma, binomial, negative binomial and generalised hyperbolic secant ...