Patterning of highly conducting polyaniline films
T. Graham, A. Afzali, et al.
Microlithography 2000
We extend the functional coefficient autoregressive (FCAR) model to the multivariate nonlinear time series framework. We show how to estimate parameters of the model using kernel regression techniques, discuss properties of the estimators, and provide a bootstrap test for determining the presence of nonlinearity in a vector time series. The power of the test is examined through extensive simulations. For illustration, we apply the methods to a series of annual temperatures and tree ring widths. Computational issues are also briefly discussed. © 2006 Elsevier B.V. All rights reserved.
T. Graham, A. Afzali, et al.
Microlithography 2000
Michael E. Henderson
International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
John S. Lew
Mathematical Biosciences