A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data

When the flat mirror is replaced by a diffractive electron mirror (Fig. 3.7b), the beam incident on the mirror will be both reflected and diffracted, leading to multiple focused

Pseudonajide peptide derived from snake venom alters cell envelope integrity interfer- ing on biofilm formation in Staphylococcus epidermidis... New strategies must be explored by

Spécialement chez les bivalves, les polluants accèdent aux tissus et aux cellules lors de la nutrition par filtration de l’eau de mer à travers les branchies

Consequently, we assume that the observed data matrix is generated according a mixture where we can decompose the density function into a product of two terms: the first one

covariance functions / genetic parameters / longitudinal data / restricted maximum likelihood / random regression model.. Résumé - Estimation des fonctions de

In our solution concept (Fig. 2) we propose a real-time nonlinear model predictive control of the temperature of a forming zone (here for glass forming processes).. In most cases

Our method is compared with that of SME [2], which was shown to scale well on data with large sets of relations, and with a bigram model, which estimates the probabilities of the

data generating process is necessary for the processing of missing values, which requires identifying the type of missingness [Rubin, 1976]: Missing Completely At Random (MCAR)