11 citations · 18 across the 4 of their papers we have counts for
6 papers
Compositional Covariance Shrinkage and Regularised Partial Correlations
Suzanne Jin, Cedric Notredame, Ionas Erb
We propose an estimation procedure for covariation in wide compositional data sets. For compositions, widely-used logratio variables are interdependent due to a common reference. L…
Power Transformations of Relative Count Data as a Shrinkage Problem
Ionas Erb
Here we show an application of our recently proposed information-geometric approach to compositional data analysis (CoDA). This application regards relative count data, which are,…
Aitchison's Compositional Data Analysis 40 Years On: A Reappraisal
Michael Greenacre, Eric Grunsky, John Bacon-Shone +2
The development of John Aitchison's approach to compositional data analysis is followed since his paper read to the Royal Statistical Society in 1982. Aitchison's logratio approach…
A Critique of Differential Abundance Analysis, and Advocacy for an Alternative
Thomas P Quinn, Elliott Gordon-Rodriguez, Ionas Erb
It is largely taken for granted that differential abundance analysis is, by default, the best first step when analyzing genomic data. We argue that this is not necessarily the case…
The Information-Geometric Perspective of Compositional Data Analysis
Ionas Erb, Nihat Ay
Information geometry uses the formal tools of differential geometry to describe the space of probability distributions as a Riemannian manifold with an additional dual structure. T…
Partial Correlations in Compositional Data Analysis
Ionas Erb
Partial correlations quantify linear association between two variables adjusting for the influence of the remaining variables. They form the backbone for graphical models and are r…