[Statlist] ECAS'2013 (17-21 September, Castro Urdiales Santander, Spain): 1st Announcement

[Dr. Diego Kuonen, CStat PStat CSci]

-------------------- Forwarded Message --------------------------------

Dear Colleagues,
Dear Friends,

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.


CONTENT OF THIS EMAIL:

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




1. MAIN TOPICS:

·         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



2. PRIORITIZED TOPICS:

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.



3. REGISTRATIONS:

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

(Early Registration fees by June 15, 2013)



4. SUBMISSION OF POSTERS AND SHORT COMMUNICATIONS:

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

http://eio.usc.es/pub/ecas2013/index.php/student-presentation

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.



DEADLINE TO SUBMIT POSTERS AND SHORT COMMUNICATIONS: June 15, 2013



5.  INVITED SPEAKERS:

·         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.



Thank you for your attention,

Hoping see you in Castro Urdiales,

Sincerely Yours,

On behalf of the Organizing Committee of the ECAS-2013 Course.

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-- 
Dr. ès sc. Diego Kuonen, CStat PStat CSci
CEO, CAO, PhD in Statistics               phone  +41 (0)31 998 4590
Statoo Consulting                         fax    +41 (0)31 998 4599
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