Program


Wednesday  September 26th

 

 

 

10:30 – 13:00 Tutorial FUNCTIONAL DATA ANALYSIS

 

 

14:30 Opening Ceremony Welcome Greetings

 

 

15:00 Plenary Session

James Ramsay

 

 

Session 1: Advances in Functional Data Analysis Models

 

 

16:00   

Aldo Goia

A functional linear approach for time series prediction

16:30

Ruiz Medina

Asymptotic inference results for time and spatial Hilbert-valued series models

17:00

Pedro Delicado

Optimal level sets for representing one bivariate density function

17:30 Coffee Break

 


 

18:00 Round Table

Chair: James Ramsay

 

 

Thursday September 27th

 

 

 

Session 2: Functional Data with spatial relations

 

 

9:30

Alessandra Menafoglio

Universal Kriging prediction for spatially dependent functional data of a Hilbert Space

10:00

Simone Vantini

A Non-parametric Approach to the Analysis of Spatially-dependent Functional Data based on Random Voronoi Maps

10:30

Claus Weihs

Low Frequency Oscillations in Electrical Transmission Systems

11:00 Coffee Break

 

 

Session 3: Functional data Analysis for high dimensional data

 

 

11:30

Carlo Lauro

The Density Valued Data Analysis in a Temporal Framework: The Data Model Approach

12:00

Tonio Di Battista

Confidence Bands for Parametric Families of Functional Data

12:30

Marcello Chiodi, Antonio Balzanella

Exploratory Functional Data Analysis of 3d and 4d seismograms in time and frequency domains

Session 4: Functional Data  Analysis for complex data

 

 

15:00

Luigi Ippoliti

Modeling Mandibular Shape Variation Using Bayesian ANOVA Models

15:30

Elvira Romano

Automatic contour detection and functional prediction of brain tumor boundary

16:00

Rosanna Verde

Wasserstein distance based linear regression for quantile functions, new issues for the analysis of histogram data

16:30 Closing

Rosanna Verde

 

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