1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.AP2017★ 1 cited
A multivariate variable selection approach for analyzing LC-MS metabolomics data
M. Perrot-Dockès, C. Lévy-Leduc, J. Chiquet +5
Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. In metabolomics,…
stat.AP2012
Modeling and forecasting daily average PM concentrations by a seasonal ARFIMA model with volatility
V. A. Reisen, A. J. Q Sarnaglia, N. C. Reis +2
This paper considers the possibility that the daily average Particulate Matter (PM) concentration is a seasonal fractionally integrated process with time-dependent variance…