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» A wavelet-based spectral procedure for steady-state simulati...
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CSDA
2007
124views more  CSDA 2007»
13 years 4 months ago
Wavelet based time-varying vector autoregressive modelling
Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
João Ricardo Sato, Pedro Alberto Morettin, ...
QEST
2006
IEEE
13 years 10 months ago
Exploring correctness and accuracy of solutions to matrix polynomial equations in queues
Spectral expansion and matrix analytic methods are important solution mechanisms for matrix polynomial equations. These equations are encountered in the steady-state analysis of M...
David Thornley, Harf Zatschler
WSC
2004
13 years 6 months ago
Stochastic Petri Nets for Modelling and Simulation
Stochastic Petri nets (SPNs) have proven to be a powerful and enduring graphically-oriented framework for modelling and performance analysis of complex systems. This tutorial focu...
Peter J. Haas
ICASSP
2009
IEEE
13 years 11 months ago
A nonparametric test for stationarity based on local Fourier analysis
In this paper we propose a nonparametric hypothesis test for stationarity based on local Fourier analysis. We employ a test statistic that measures the variation of time-localized...
Prabahan Basu, Daniel Rudoy, Patrick J. Wolfe
BMCBI
2007
144views more  BMCBI 2007»
13 years 4 months ago
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...