Analysis of time series

By E. Bradley. 2003

579 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e034acf594a30fa3c95e6382d202db6397ecfc19

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Citations in the corpus

Fluctuations in European eel (Anguilla anguilla) recruitment resulting from environmental changes in the Sargasso Sea (2007, methodology): “(1994) Yield and abundan e of the glass eel (Anguilla anguilla L.) at the beginning of the nineties. Bull. Fr. Pê he Pis i . 335: 263 287. Castonguay M., Hodson P.V., Moriarty C., Drinkwater K.F. and Jessop B.M. (1994) Is there a role of o ean environment in Ameri an and European eel de line? Fish. ”
Symptoms of complexity in a tourism system (2007, background): “They conclude that, in spite of shocks from terrorism, war, and regional instability, visitsforecast future behaviors are valid only in the presence of this characteristic (Chatfield, 1996).”
Dynamic factor analysis to estimate common trends in fisheries time series (2003, background): “Each of the common trends is modelled as a random walk trend (Chatfield 1989; Harvey 1989).”
Evolutionary clustering (2006, background): “Temporal correlation is perhaps the best-known approach to timeseries similarity [5].”
The predictive power of online chatter (2005, background): “[ 10 ]). The sample cross-covariance function is given by”
International Evidence on Output Fluctuation and Shock Persistence (2003, unknown): “Thus, we estimate f ðojÞ and hðojÞ; where oj ¼ jp=m; and j ¼ 0; 1; 2;y; m: The number of ordinates, m; is set using the rule m ¼ 2 ffiffiffi n p ; as suggested by Chatfield (1989, p. 115) ,”
Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas (2012, background): “Estimating τ and m is computationally complex and numerically sensitive [17], reason why nonlinear time series analysis techniques that do not require these parameters are extremely attractive.”
Complexity and simplification in understanding recruitment in benthic populations (2008, background): “The shortest time-scale that can be identified from a time series is twice the sampling interval (the Nyquist frequency, Chatfield 1989).”
Habitat heterogeneity affects population growth in goshawk Accipiter gentilis (2001, methodology): “We judged the significance by constructing 95% confidence limits for the PACF using the so called ‘Bartlett’s bands’ (e.g. Chatfield 1996).”
Evaluating the costs of desalination and water transport (2005, methodology): “Statistical techniques for multicointegration have yet to be developed [cf. Banerjee et al., 1993; Chatfield, 2004], except when there is strong prior information [Tol and de Vos, 1998], which we lack in this case.”
Improved supply chain management based on hybrid demand forecasts (2007, methodology): “234 235 236 237 238 239 240 241 242 243 C O R The autoregressive part AR( p) models a time series as a linear function of p previous observations in order to predict the current one [5].”
Quantifying movement patterns for shark conservation at remote coral atolls in the Indian Ocean (2011, methodology): “contribute to erroneous peaks (Chatfield 1996).”