8 citations · 19 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
The Influence Function of Graphical Lasso Estimators
Gaëtan Louvet, Jakob Raymaekers, Germain Van Bever +1
The precision matrix that encodes conditional linear dependency relations among a set of variables forms an important object of interest in multivariate analysis. Sparse estimation…
Local Projection Inference in High Dimensions
Robert Adamek, Stephan Smeekes, Ines Wilms
In this paper, we estimate impulse responses by local projections in high-dimensional settings. We use the desparsified (de-biased) lasso to estimate the high-dimensional local pro…
Detecting Anti-dumping Circumvention: A Network Approach
Luca Barbaglia, Christophe Croux, Ines Wilms
Despite the increasing integration of the global economic system, anti-dumping measures are a common tool used by governments to protect their national economy. In this paper, we p…
Regularized Predictive Models for Beef Eating Quality of Individual Meals
Garth Tarr, Ines Wilms
Faced with changing markets and evolving consumer demands, beef industries are investing in grading systems to maximise value extraction throughout their entire supply chain. The M…