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:
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15.10.2019CoDa-thesis at TSE (Toulouse, France)
Contribution to the statistical analysis of compositional data with an application to political economy
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10.07.2019
CoDa-thesis at UdG (GIrona, Spain)
CONDITION ASSESSMENT OF PATIENTS WITH TYPE 1 DIABETES USING COMPOSITIONAl DATA ANALYSIS
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12.06.2019
CoDa-Keynote lectures at IAMG 2019
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12.06.2019
CoDa-session at IGC 2020 (India)
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21.02.2019
IAMG: Matheron Lecturer 2019
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14.01.2019
Presentation of the guest CoDa-article of the journal SORT
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10.01.2019
CoDa-book: Compositional Data Analysis in Practice
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10.01.2019
CoDa-book: Applied Compositional Data Analysis
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10.12.2018
Introductory Online Course on Compositional Analysis
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05.12.2018
CoDa-session at IAMG2019 !
State College, Pennsylvania, USA, 10−16 August 2019.
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31.10.2018
Week-CoDaCourse at UdG
8th Course and Open Seminar on Compositional Data Analysis; 2019 July, 1-5; University of Girona
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30.10.2018
CoDa-thesis at UdG (Spain)
Mixture Models Contributions from Compositional Analysis
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26.09.2018
Special Issue on Compositional Data Analysis at the Austrian Journal of Statistics
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26.07.2018
Request 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
