Commentary: Are piecewise mixed effects models useful in epidemiology?

are speech attractor models useful in diagnosing vocal fold pathologies?

the speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. since there are some experimental evidences that suggest the existence of chaotic behavior in speech production s...

Commentary: assessing the risk of violence--are "accurate" predictions useful?

Are Innovation-Based Endogenous Growth Models Useful?

A broad and popular class of innovation-based endogenous growth models implies that the steady-state growth rate of per capita output is increasing in the steady-state inducement to innovate. This paper presents evidence that in the sample periods 18901929 and 1947-1998, the US economy can be characterized as having fluctuated around two distinct steady states. It then quantifies the relationsh...

Bayesian Piecewise Linear Mixed Models With a Random Change Point

BACKGROUND Body mass index (BMI) rebound refers to the beginning of the second rise in BMI during childhood. Accurate estimation of an individual's timing of BMI rebound is important because it is associated with health outcomes in later life. METHODS We estimated BMI trajectories for 6545 children from the Avon Longitudinal Study of Parents and Children. We used a novel Bayesian two-phase pi...

Identification of Piecewise Affine Wiener Models via Mixed-Integer Programming

Many successful tools have been proposed by several researchers for safety analysis, stability analysis, and control/scheduling synthesis for hybrid systems. However, one important area which has not received much attention in the hybrid systems community is the identi cation of piecewise aÆne systems. As a step in that direction, we present an algorithm for identifying piecewise aÆne Wiener mo...