With the increasing ease of measuring multiple variables per object the importance of
variable selection for data reduction and for improved interpretability is gaining importance …

Food analysis covers aspects of quality and detection of possible frauds to ensure the
integrity of the food. The arsenal of analytical instruments available for food analysis is broad …

Through the remarkable progress in technology, it is getting easier and easier to generate
vast amounts of variables from a given sample. The selection of variables is imperative for …

This paper concerns a class of group-lasso learning problems where the objective function
is the sum of an empirical loss and the group-lasso penalty. For a class of loss function …

We build connections between envelopes, a recently proposed context for efficient
estimation in multivariate statistics, and multivariate partial least squares (PLS) regression …

Advances in technology make it happen to have massive amount of information in the form
of multiple variables per object. The use of multivariate approaches for modeling the real‐life …

Written by the leading expert in the field, this text reviews the major new developments in
envelope models and methods An Introduction to Envelopes provides an overview of the …

The competitive adaptive reweighted sampling-successive projections algorithm (CARS-
SPA) method was proposed as a novel variable selection approach to process multivariate …

Background In genomics, a commonly encountered problem is to extract a subset of
variables out of a large set of explanatory variables associated with one or several …

Gas hydrates represent one of the main flow assurance challenges in the oil and gas
industry as they can lead to plugging of pipelines and process equipment. In this paper we …