Founder and First AMyC Coordinator, period 2006–2013:
CARLES Mª CUADRAS AVELLANA
Founding Member and Second AMyC Coordinator, 2014–2017 period:
JOSÉ FERNANDO VERA VERA
Founding Member and Third Coordinator AMyC, 2017–2022:
EVA BOJ DEL VAL
Founding Member and current Coordinator AMyC 2022-
AUREA GRANÉ CHAVEZ
Contact address: Statistics Dept., Universidad Carlos III de Madrid, C/Madrid 126, 28903 Getafe; firstname.lastname@example.org
Saturday, 21 February 2015 13:07
IFCS 2015 (Conference of the International Federation of Classification Societies) Bologna, July 6-8, 2015
The 2015 conference of the International Federation of Classification Societies (IFCS) will be held at the University of Bologna, Italy, from July 6th to July 8th, 2015. The conference will celebrate the 30th anniversary of the IFCS, which was founded 4 July 1985. The conference and will include a president’s invited session and a presidential address, key note presentations, invited presentations, invited and contributed symposia, and oral and poster presentations.
Special Lecture: The conference will host a special lecture by Trevor Hastie and Robert Tibshirani celebrating the 25th anniversary of the publication of their book on Generalized Additive Models.
Flyer: You can download the flyer of the Conference here.
CALL FOR PAPERS: The International Federation of Classification Societies Board is pleased to announce the Call For Papers for the IFCS Conference 2015. The Organization Conference will be held 6-8 July 2015 at the University of Bologna in Bologna, Italy. For further details click here.
The conference will host a special lecture by Trevor Hastie and Robert Tibshirani celebrating the 25th anniversary of the publication of their book on Generalized Additive Models.e conference will celebrate the 30th anniversary of the IFCS, which was founded 4 July 1985.The topics of interest comprise any related problem to Multivariate Analysis and Classification both from a theoretical or a computational point of view, and their applications. It also includes problems related to unsupervised or supervised statistical learning related to big data analysis.