Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Prichard, Dean"'
Autor:
Theiler, James, Prichard, Dean
We compare two theoretically distinct approaches to generating artificial (or ``surrogate'') data for testing hypotheses about a given data set. The first and more straightforward approach is to fit a single ``best'' model to the original data, and t
Externí odkaz:
http://arxiv.org/abs/comp-gas/9603001
Autor:
Prichard, Dean
The effect differencing has on the estimated correlation dimension of a nongaussian time series is discussed. Two different methods for generating surrogate data sets are compared. The results suggest that any filtering should be applied to both the
Externí odkaz:
http://arxiv.org/abs/comp-gas/9405005
Autor:
Prichard, Dean, Theiler, James
Extensions to various information theoretic quantities used for nonlinear time series analysis are discussed, as well as their relationship to the generalized correlation integral. It is shown that calculating redundancies from the correlation integr
Externí odkaz:
http://arxiv.org/abs/comp-gas/9405006
Autor:
Prichard, Dean, Theiler, James
We propose an extension to multivariate time series of the phase-randomized Fourier-transform algorithm for generating surrogate data. Such surrogate data sets must mimic not only the autocorrelations of each of the variables in the original data set
Externí odkaz:
http://arxiv.org/abs/comp-gas/9405002
Autor:
McCormick, Patrick, Sweeney, Christine, Moss, Nick, Prichard, Dean, Gutierrez, Samuel K., Davis, Kei, Mohd-Yusof, Jamaludin
Publikováno v:
2014 Fourth International Workshop on Domain-Specific Languages & High-Level Frameworks for High Performance Computing; 2014, p1-10, 10p
Publikováno v:
Journal of Geophysical Research. Space Physics; 1996, Vol. 101 Issue A7, p15359-15369, 11p
Publikováno v:
Journal of Geophysical Research. Space Physics; 1995, Vol. 100 Issue A11, p21995-22001, 7p
Autor:
Prichard, Dean, Theiler, James
Publikováno v:
In Physica D: Nonlinear Phenomena 1995 84(3):476-493