Examples are presented of statistical techniques for the analysis of random process data and of their uses in the substantive fields of seismology and neurophysiology. The problems addressed include frequency estimation for decaying cosinusoids, signal estimation, association measurement, causal connection assessment, estimation of speed and direction and structural modeling. The techniques employed include complex demodulation, nonlinear regression, probit analysis, deconvolution, maximum likelihood, singular value decomposition, Fourier analysis and averaging.
Publié le : 1988-03-14
Classification:
Array data,
average evoked response,
binary data,
Fourier inference,
complex demodulation,
neurophysiology,
point processes,
probit analysis,
spatial-temporal processes,
seismology,
system identification,
time series,
62M99,
62P99
@article{1176350689,
author = {Brillinger, David R.},
title = {Some Statistical Methods for Random Process Data from Seismology and Neurophysiology},
journal = {Ann. Statist.},
volume = {16},
number = {1},
year = {1988},
pages = { 1-54},
language = {en},
url = {http://dml.mathdoc.fr/item/1176350689}
}
Brillinger, David R. Some Statistical Methods for Random Process Data from Seismology and Neurophysiology. Ann. Statist., Tome 16 (1988) no. 1, pp. 1-54. http://gdmltest.u-ga.fr/item/1176350689/