[Lisa_seminaires] Fwd: COLLOQUE CRM-ISM-GERAD DE STATISTIQUE: C. Crainiceanu (Le vendredi 16 novembre 2007)

Yoshua Bengio bengioy at iro.umontreal.ca
Lun 5 Nov 09:00:51 EST 2007


Pour ceux qui ne veulent pas m'entendre radoter à McGill le 16  
novembre il y a ce talk à Concordia qui pourrait être bien:

Begin forwarded message:

> From: CRM <activites at CRM.UMontreal.CA>
> Date: November 5, 2007 8:29:05 AM EST (CA)
> To: lofficiel <lofficiel at CRM.UMontreal.CA>
> Subject: COLLOQUE CRM-ISM-GERAD DE STATISTIQUE: C. Crainiceanu (Le  
> vendredi 16 novembre 2007)
>
> ******************************************************************
> COLLOQUE CRM-ISM-GERAD DE STATISTIQUE
> ******************************************************************
>
> CONFERENCIER(S) / SPEAKER(S) :
> Ciprian Crainiceanu
> (Johns Hopkins University)
>
>
> TITRE / TITLE :
> "Multilevel Functional Principal Component Analysis"
>
>
> LIEU / PLACE :
> Concordia, Library Building, 1400 Blvd. de Maisonneuve O. Salle /  
> Room LB-921-04
>
> DATE :
> Le vendredi 16 novembre 2007 / Friday, November 16, 2007
>
> HEURE / TIME :
> 15 h 30 / 3:30 p.m.
>
> RESUME / ABSTRACT :
> Modern research data have become increasingly complex, raising non- 
> traditional modeling and inferential challenges. In particular,  
> advancements in technology and computation have made recording and  
> processing of functional data possible. Examples of functional data  
> are time series of electroencephalographic (EEG) activity,  
> anatomical shape, and functional MRI. The purpose of this talk is  
> to describe statistical models for feature extraction from single- 
> level (one or multiple functions per subject at one visit) and  
> clustered or longitudinal (one or multiple functions per subject at  
> multiple visits) functional data having a large number of subjects  
> and large within- and between-subject heterogeneity. We introduce  
> the framework and inferential tools for multilevel functional data  
> (MFD) obtained by recording of functional characteristics at  
> multiple visits. Though motivated by a novel experimental setting,  
> the proposed methodology is general, with potential broad  
> applicability to many high-throughput scientific studies. A  
> prototypical example of MFD is the Sleep Heart Health Study (SHHS),  
> which contains electroencephalographic (EEG) signals for each  
> subject at two visits.
>
> ******************************************************************
>
> http://www.crm.umontreal.ca/cgi/Stats.csh



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