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» Computing and using residuals in time series models
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CSDA
2006
117views more  CSDA 2006»
13 years 7 months ago
Exact maximum likelihood estimation of structured or unit root multivariate time series models
TheexactlikelihoodfunctionofaGaussianvectorautoregressive-movingaverage(VARMA)model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in ...
Guy Mélard, Roch Roy, Abdessamad Saidi
ICNC
2005
Springer
14 years 1 months ago
A Time-Series Decomposed Model of Network Traffic
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
Guang Cheng, Jian Gong, Wei Ding 0001
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
RECOVIR: An application package to automatically identify some single stranded RNA viruses using capsid protein residues that un
Background: Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in un...
Dianhui Zhu, George E. Fox, Sugoto Chakravarty
JMLR
2008
144views more  JMLR 2008»
13 years 7 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
FSS
2002
103views more  FSS 2002»
13 years 7 months ago
A fuzzy seasonal ARIMA model for forecasting
This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression mod...
Fang-Mei Tseng, Gwo-Hshiung Tzeng