Objective: To better understand the longitudinal characteristics of Parkinson's disease (PD) through the analysis of finger tapping and memory tests collected remotely using smartphones. Approach: Using a large cohort (312 PD subjects and 236 controls) of participants in the mPower study, we...

Dual/multiple language use has been suggested to affect human cognition and neural substrates. Nevertheless, considerable variability emerges concerning replicability of such effects, likely originating in the common practice of reducing the spectrum of bilingualism to a dichotomy of presence...

A mixed effects least squares support vector machine (LS-SVM) classifier is introduced to extend the standard LS-SVM classifier for handling longitudinal data. The mixed effects LS-SVM model contains a random intercept and allows to classify highly unbalanced data, in the sense that there is an...

Adjusted least squares (ALS) estimators for the conic section problem are considered. Consistency of the translation invariant version of ALS estimator is proved. The similarity invariance of the ALS estimator with estimated noise variance is shown. The conditions for consistency of the ALS...