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Found 5 papers, 2 papers with code
Multivariate Online Linear Regression for Hierarchical Forecasting
In this paper, we consider a deterministic online linear regression model where we allow the responses to be multivariate.
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
We introduce the binacox, a prognostic method to deal with the problem of detecting multiple cut-points per features in a multivariate setting where a large number of continuous features are available.
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
We then compare performances of all methods both in terms of risk prediction and variable selection, with a focus on the use of Elastic-Net regularization technique.
Binarsity: a penalization for one-hot encoded features in linear supervised learning
In each group of binary features coming from the one-hot encoding of a single raw continuous feature, this penalization uses total-variation regularization together with an extra linear constraint.
C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
We introduce a mixture model for censored durations (C-mix), and develop maximum likelihood inference for the joint estimation of the time distributions and latent regression parameters of the model.
