
Professional
background
Josep Antoni Martín Fernández
- Degree in Mathematics [Universitat Autònoma de
Barcelona (UAB), 1986]

- Ph.D. in Statistics
(Universitat Politècnica de Catalunya (UPC)
,
2001). The doctoral Thesis "Measures of difference and
non-parametric classification of Compositional Data" [233 p.; ISBN:
84-699-5369-9]
was performed in the Department of Applied
Mathematics of UPC and was qualified as the award with special
distinction for the 2000-2001 academic course.
- Since 1990 I am working
in the Departament d'Informàtica, Matemàtica Aplicada i Estadística [Computer
Science, Applied Mathematics and Statistics Department] of the University of
Girona. Now I am teaching as professor Titular d'Universitat
[Associate Professor] in the Escola Politècnica Superior
[Engineering Faculty]. Usually I teach about statistical and
operational research subjects related with computer science and
engineering.
- My area of interest is the Statistical Analysis of
Compositional Data. Now I focuse my research in the topics
"Cluster Analysis of Compositional Data" and "Rounded Zeros and
Missing Data" in collaboration of my colleagues of the Estadística
i
Anàlisi de Dades group: Vera
Pawlowsky-Glahn, Carles
Barceló-Vidal, Santiago
Thió-Henestrosa, Josep
Daunis-i-Estadella, and Glòria
Mateu-Figueras.Compositional Data Analysis (CoDA) refers to the analysis of compositional data (CoDa),
which have been defined historically as random vectors with strictly positive components whose
sum is constant (e.g., 100, one, a million). More recently, the term covers all those vectors representing
parts of a whole which only carry relative information, thus including not only parts per unit or percentages,
but also molar compositions. Currently I am the PI of the
CoDa-research group at the UdG.
- Since June 2015 I am treasurer of the
CoDa
Association. This organization brings together scientists
interested in developing methods for compositional data modelling
and their application in different fields such as, geology,
biology, economics or social sciences, to name a few.