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 …

This article presents some of the multivariate methods used in metabolomics, and addresses
many of the data types and associated analyses of current instrumentation and applications …

We consider the problem of performing interpretable classification in the high-dimensional
setting, in which the number of features is very large and the number of observations is …

The impact of intra-seasonal climate variability on inter-annual variation in winter wheat and
grain maize yields over 92 French administrative regions is assessed. Observed monthly …

Bayesian Designs for Phase I–II Clinical Trials Page 1 Page 2 Ying Yuan The University of
Texas MD Anderson Cancer Center Houston, Texas, USA Hoang Q. Nguyen The University of …

Chemical ecology has strong links with metabolomics, the large-scale study of all
metabolites detectable in a biological sample. Consequently, chemical ecologists are often …

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 …

Although the critical role that our gastrointestinal microbes play in host physiology is now
well established, we know little about the factors that influenced the evolution of primate gut …

Imaging spectroscopy has been used successfully to map species across diverse
ecosystems, and with several spaceborne imaging spectrometer missions underway (eg …

In agriculture, overfertilization with liquid organic manures (LOM) is causing environmental
issues including eutrophication of non-agricultural ecosystems and nitrate pollution of …