News&Info
Your CoDa-news are very welcomed! contribute to this section!
To do this please send to webmaster@coda-association.org the following information:
- Title
- Description: maximum 10 lines. Images and links are recommended.
- One image (photo, plot,…) representing the news.
This information can be send in a pdf, word or other similar “ascii” formats. The images, preferably, in jpeg or png format.
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26.07.2018Request for Proposals to Host CoDaWork2021
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17.07.2018
CoDaWork 2019
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17.05.2018
CARME 2019
Correspondence Analysis and Related Methods
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09.01.2018
7th CoDaCourse at UdG!
7th Course and Open Seminar on Compositional Data Analysis at UdG
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30.11.2017
New Meeting Committee
The CoDa-Association establish the Meeting Committee
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22.11.2017
CoDa-thesis
Impact of media investments on brands’ market shares: a compositional data analysis approach
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28.07.2017
"CoDa-letters" section
A new section in the "Info" menu!
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10.07.2017
CoDa in microbiome
The Barcelona Debates on the Human Microbiome 2017. From Microbes to Medicines
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18.04.2017
March for Science
CoDa-Association support
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24.03.2017
Council Election 2017: results
Results of Council election: published!
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28.02.2017
PhD opportunity on compositional data modelling
A 3-year full-time PhD studentship
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29.12.2016
Our Honorary President died
John Aitchison died in Glasgow on December 23, 2016 after a short illness
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06.12.2016
A new CoDa-book in Springer!
Springer has just published the book Compositional Data Analysis CoDaWork L'Escala Spain June 2015 in the series Springer Proceedings in Mathematics & Statistics.
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05.12.2016
CoDaWork-2017: 5-9 June
CoDaWork 2017, the 7th international Workshop on Compositional Data analysis, and the traditional previous introductory course will take place in Parco Museo Minerario ( 5-9 June; Abbadia San Salvatore, Siena, Italy).
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03.10.2016
Special issue on CoDa!!
The AUSTRIAN JOURNAL OF STATISTICS (VOL 45 NO 4 2016) has published a special issue on CoDa.
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22.07.2016
Book: Modeling and Analysis of CoDa
Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method.
