CODAWORK’08
3rd Compositional Data Analysis Workshop. Girona 27-30 May 2008
The CodaWork’08 Workshop on Compositional Data Analysis is intended as a forum for discussion of research issues related to the statistical treatment and modelling of compositional data, the interpretation of models for compositional data and applications involving compositional data. The primary goal of the workshop is to identify important potential lines of future research and gain insight as to how they might be tackled. With this goal in mind, we intend to bring together specialist researchers, postgraduate students, data analysts as well as those with a general interest in the field, prepared to summarize and share crucial contributions and recent developments and to participate as members of a brainstorming think tank
Modelling of Mercury’s surface composition and remote detection from the orbit with the BepiColombo Mercury Planetary Orbiter
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Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis
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Mixing compositions and other scales
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Vertebrates Limb Geometry in the Simplex space
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Multi-isotopic and compositional exploration of factors controlling nitrate pollution
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Statistical treatment of grain-size curves and empirical distributions: densities as compositions?
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Comparing methods for dimensionality reduction when data are density functions
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Revisiting the compositional data. Some fundamental questions and new prospects in Archaeometry and Archaeology
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Experimental design on the simplex
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Clustering compositional data trajectories
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Robust Factor Analysis for Compositional Data
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Coherent forecasting of multiple-decrement life tables: a test using Japanese cause of death data
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Compositional amalgamations and balances: a critical approach
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A new distribution on the simplex containing the Dirichlet family
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Scoring Methods for Ordinal Multidimensional Forced-Choice Items
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Compositional evolution with mass transfer in closed systems
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Hardy-Weinberg Equilibrium and the Ternary Plot
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A comparison of the alr and ilr transformations for kernel density estimation of compositional data
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“Unmixing” Tissue Gene Expression Signatures from Tumor Biopsies
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Compositional Time Series: An Application
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Multivariate ARIMA Compositional Time Series Analysis
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Compositional analysis of bivariate discrete probabilities
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Application of compositional data analysis to geochemical data of marine sediments
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