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24.04.2013 10:47 Alter: 6 yrs
Kategorie: Veranstaltung

ECAS'2013: 1st Announcement

This is the 1st announcement of the course "Functional and Complex Structure Data Analysis" (http://eio.usc.es/pub/ecas2013/). This event will take place in Castro Urdiales - Cantabria (Spain) on 17 to 21 September, 2013.

The potential audience of this ECAS Session are PhD students, substantive researches, methodologists in Mathematics and Computer Science (Bioinformatics, Biostatistics, Epidemiologist), as well as statisticians with interests in FDA.

1. Main topics of the course

2. Prioritized topics and aim

3. Registrations

4. Submission of posters and short communications

5. List of Invited Speakers



· Functional data Analysis

· Functional Principal component analysis

· Functional regression: linear, nonparametric, additive, semiparametric and generalized models.

· Complex data structures: High dimension data, dependence.

· Functional Time series

· Functional classification: discrimination and clustering

· Computational aspects of functional data

· R software



The ECAS 2013 session will give a general overview of the methodological and practical aspects of Functional Data Analysis (FDA) with recent advances. Functional data analysis is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. The continuum is often time, but may also be spatial location, wavelength, probability, etc.

The data may be so accurate that error can be ignored, may be subject to substantial measurement error, or even have a complex indirect relationship to the curve that they define.

Models for functional data and methods for their analysis may resemble those for conventional multivariate data, including linear and nonlinear regression models, principal components analysis, and many others. But the possibility of using derivative information greatly extends the power of these methods, and also leads to purely functional models such as those defined by differential equations.

Most recent developments will be considered too, and their practical approach will receive attention using the R software. For example, measurements of the heights of children over a wide range of ages have an error level so small as to be ignorable for many purposes, but daily records of precipitation at a weather station are so variable as to require careful and sophisticated analyses in order to extract something like a mean precipitation curve. These curves are often smooth in functional data analysis. In particular, functional data analyses often make use of the information in the slopes and curvatures of curves, as reflected in their derivatives. Plots of first and second derivatives as functions of t, or plots of second derivative values as functions of first derivative values, may reveal important aspects of the processes generating the data. As a consequence, curve estimation methods designed to yield good derivative estimates can play a critical role in functional data analysis.

The analysis of complex data types that is an extension of Functional Data Analysis where one considers methods to analyze data samples of complex objects. Modern science is generating a need to understand, and statistically analyze, populations of increasingly complex types.

It is assumed that the participants benefit of a good background in statistics up to and including multivariate analysis, and have been exposed to matrix algebra. Participants will learn modeling real data – eventually on their own WIFI compatible laptop - but no previous acquaintance with one of the currently available software packages in FDA is required.



online on the website: http://eio.usc.es/pub/ecas2013/index.php/registration

(Early Registration fees by June 15, 2013)



Every registered person is entitled to present a poster and/or give a short presentation on its work. In order to make sure that there will be enough room for all presented posters, it is required to submit the posters online on the website


There also will be a limited number of short oral presentations on Thursday 19th September. Attendants interested in to make an oral presentation, should submit their communications flowing the guidelines provided on http://eio.usc.es/pub/ecas2013/index.php/student-presentation

In the case there are more submitted oral communications than room for them, the Scientific Committee will make a selection between the presented proposals taking into account their scientific quality.





· Antonio Cuevas, University Autónoma de Madrid, Spain

· Manuel Febrero Bande, University of Santiago de Compostela, Spain

· Peter Hall, University of Melbourne, Australia

· Victor M. Panaretos, Ecole Polytechnique Fédérale de Lausanne, Switzerland



Please circulate the announcement, call for papers and leaflet to your colleagues.