In the framework of Compositional Data Analysis, vectors carrying relative information, also
called compositional vectors, can appear in regression models either as dependent or as …

The vote shares by party on a given subdivision of a territory form a vector called
composition (mathematically, a vector belonging to a simplex). It is interesting to model …

In an election, the vote shares by party for a given subdivision of a territory form a
compositional vector (positive components adding up to 1). Conventional multiple linear …

Georeferenced compositional data are prominent in many scientific fields and in spatial
statistics. This work addresses the problem of proposing models and methods to analyze …

While research on spatial lag quantile regression models exists, the extension to
incorporating compositional data within this framework remains unexplored. The unique …

Compositional data find broad application across diverse fields due to their efficacy in
representing proportions or percentages of various components within a whole. Spatial …

Spatial autoregressive models have been adapted to model data with both a geographic
and a compositional nature. Interpretation of parameters in such a model is intricate. Indeed …