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CSDA
2007
117views more  CSDA 2007»
13 years 11 months ago
Smoothing splines estimators in functional linear regression with errors-in-variables
The Total Least Squares method is generalized in the context of the functional linear model. A smoothing splines estimator of the functional coefficient of the model is first prop...
Hervé Cardot, Christophe Crambes, Alois Kne...
CSDA
2007
131views more  CSDA 2007»
13 years 11 months ago
Bivariate density estimation using BV regularisation
In this paper we study the problem of bivariate density estimation. The aim is to find a density function with the smallest number of local extreme values which is adequate with ...
Andreas Obereder, Otmar Scherzer, Arne Kovac
CSDA
2007
108views more  CSDA 2007»
13 years 11 months ago
Diagnostics for functional regression via residual processes
We develop regression diagnostics for functional regression models which relate a functional response to predictor variables that can be multivariate vectors or random functions. ...
Jeng-Min Chiou, Hans-Georg Müller
CSDA
2007
97views more  CSDA 2007»
13 years 11 months ago
Advances in Mixture Models
Dankmar Böhning, Wilfried Seidel, Macro Alf&o...
CSDA
2007
76views more  CSDA 2007»
13 years 11 months ago
Independent component analysis based on symmetrised scatter matrices
A new method for separating the mixtures of independent sources has been proposed recently in [8]. This method is based on two scatter matrices with the so called independence pro...
Sara Taskinen, S. Sirkiä, Hannu Oja
CSDA
2007
105views more  CSDA 2007»
13 years 11 months ago
Joint segmentation of wind speed and direction using a hierarchical model
The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two...
Nicolas Dobigeon, Jean-Yves Tourneret
CSDA
2007
87views more  CSDA 2007»
13 years 11 months ago
Estimation and inference in functional mixed-effects models
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 model...
Anestis Antoniadis, Theofanis Sapatinas