246 citations · 367 across the 6 of their papers we have counts for
3 papers · 1 filter
Regularized estimation of large-scale gene association networks using graphical Gaussian models
Nicole Kraemer, Juliane Schaefer, Anne-Laure Boulesteix
Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exce…
Kernel Partial Least Squares is Universally Consistent
Gilles Blanchard, Nicole Kraemer
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Leas…
Sparse Causal Discovery in Multivariate Time Series
Stefan Haufe, Guido Nolte, Klaus-Robert Mueller +1
Our goal is to estimate causal interactions in multivariate time series. Using vector autoregressive (VAR) models, these can be defined based on non-vanishing coefficients belongin…