Venue: De Krook, Miriam Makebaplein 1 Ghent, Belgium

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Workshop description

This course aims at introducing students to the analysis of data in the form of curves. The course will last 3 days, comprising lectures connected to practical hands-on sessions, and (the last day) more advanced talks by experts. After having had an introduction to theory and tools, students will collect curve data in the ASIL lab (De Krook) and learn how to analyze them. Emphasis is on functional data analysis. Materials (text and tools, such as R and RStudio) will be distributed so that students can prepare themselves before they attend the course.

See the program


\(\to\) Ana Mª Aguilera (Universidad de Granada)
“An introduction to functional data analysis”

\(\to\) Jan Beran (Universität Konstanz)
“On Fourier based functional data analysis, with applications”

\(\to\) Alessia Caponera (Università di Milano-Bicocca)
“Sparse functional data: mean and covariance estimation with an application to climate data”

\(\to\) Ingrid Dauchebies (Duke University | Vrije Universiteit Brussel)
“Surfing with wavelets”

\(\to\) Marc Leman (Ghent University)
“New challenges in augmented humanities: complex data and challenging analyses”

\(\to\) Alessandra Menafoglio (Politecnico di Milano)
“The Bayes space approach to functional data analysis for probability density functions”

\(\to\) Aleksandra Michałko (Ghent University)
“Before analysis starts: data collection process and its challenges”

\(\to\) Marc Vidal (Ghent University | Universidad de Granada | Max-Planck-Institut Leipzig)
“The near-perfect classification phenomenon: an overview of functional classification techniques applied to data coming from digital humanities”

\(^*\)The talks are open to the general public. Place: zaal De Blauwe Vogel, De Krook, Miriam Makebaplein 1, 9000 Ghent, Belgium.

Course topics

\(\to\) Data gathering
\(\to\) Computational tools (R Studio)
\(\to\) Probability principles
\(\to\) Curve approximation
\(\to\) Functional principal components analysis
\(\to\) Inference with functional data
\(\to\) Advanced techniques