8 citations · 12 across the 5 of their papers we have counts for
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stat.ME2022
Principal Balances of Compositional Data for Regression and Classification using Partial Least Squares
V. Nesrstová, I. Wilms, J. Palarea-Albaladejo +4
High-dimensional compositional data are commonplace in the modern omics sciences amongst others. Analysis of compositional data requires a proper choice of orthonormal coordinate r…
stat.ME2021
Graphical Influence Diagnostics for Changepoint Models
Ines Wilms, Rebecca Killick, David S. Matteson
Changepoint models enjoy a wide appeal in a variety of disciplines to model the heterogeneity of ordered data. Graphical influence diagnostics to characterize the influence of sing…
stat.ME2021★ 4 cited
Tree-based Node Aggregation in Sparse Graphical Models
Ines Wilms, Jacob Bien
High-dimensional graphical models are often estimated using regularization that is aimed at reducing the number of edges in a network. In this work, we show how even simpler networ…