Short Course and Open Seminar on Compositional Data Analysis

A short course on compositional data analysis will be imparted at the premises of the
University of Girona (UdG).

Objective: To provide an introduction to the theoretical and practical aspects of statistical
analysis of compositional data, as well as an informal discussion forum on more advanced
modelling topics.
 
Contents: Compositional data are vectors which components show the relative importance
of some parts of a whole. Typical examples are data presented in percentages, ppm,
ppb, or the like. Aitchison introduced the log-ratio approach to analyse CoDa back in the
eighties. Since then, progress has been done in understanding the geometry peculiar to
their sample space, the D-part simplex. This course will present the current state of the
art in this field of active research and will cover the following topics:

1. Hypothesis underlying statistical data analysis (sample space, scale).
2. The Aitchison geometry of the simplex.
3. Coordinate representation; distribution on the simplex.
4. Exploratory analysis (centering, variation array, biplot, balances-dendrogram).
5. Linear processes in the simplex; regression.
6. Introduction to multivariate analysis: cluster and discriminant.

Recommended background: First semester courses in statistics, algebra and calculus; basic
knowledge in multivariate statistics.

How to apply: Visit the website, and fill in the form there. Class size is limited! Special prices for
students.

Class size is limited!

Special prices for students.

Visit our website for more information:

Dpt. Informātica i Matemātica
Aplicada
Universitat de Girona
Campus Montilivi, EPS-4
E-17071 Girona (Spain)

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