Reasoning about RoboCup soccer narratives
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
Abstract. A general approach for the development of a statistical inference on autoregressive moving‐average (ARMA) models is presented based on geometric arguments. ARMA models are characterized as members of the curved exponential family. Geometric properties of ARMA models are computed and used to suggest parameter transformations that satisfy predetermined properties. In particular, the effect on the asymptotic bias of the maximum likelihood estimator of model parameters is illustrated. Hypothesis testing of parameters is discussed through the application of a modified form of the likelihood ratio test statistic. Copyright © 1990, Wiley Blackwell. All rights reserved
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
Ziv Bar-Yossef, T.S. Jayram, et al.
Journal of Computer and System Sciences
Elizabeth A. Sholler, Frederick M. Meyer, et al.
SPIE AeroSense 1997
Tong Zhang, G.H. Golub, et al.
Linear Algebra and Its Applications