Ordinary differential equations (ODEs) are commonly used to model dynamic behavior of a system. Because many parameters are unknown and have to be estimated from the observed data, there is growing ...

The Annals of Statistics, Vol. 24, No. 2 (Apr., 1996), pp. 879-901 (23 pages) In this paper we show that the well-known asymptotic efficiency bounds for full mixture models remain valid if individual ...

Researchers have developed an Event-triggered asymptotic composite neural tracking control scheme for intelligent vehicles, integrating radial basis function neural networks and a serial-parallel ...

Abstract: This dissertation is organized into three interrelated research streams. Computational Efficiency and Precision: We improve the computational efficiency and precision of replicated-count and ...