A state–space mixture approach for estimating catastrophic events in time series data

By Ward Eric J   Hilborn Ray   Towell Rod G   Gerber Leah  

Canadian Journal of Fisheries and Aquatic Sciences, Vol. 64, Iss. 6, 2007-06 ,pp. : 899-910

NRC Research Press

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A Bayesian state–space mark–recapture model to estimate exploitation rates in mixed-stock fisheries

By Michielsens Catherine G.J   McAllister Murdoch K   Kuikka Sakari   Pakarinen Tapani   Karlsson Lars   Romakkaniemi Atso   Perä Ingemar   Mäntyniemi Samu  

Canadian Journal of Fisheries and Aquatic Sciences, Vol. 63, Iss. 2, 2006-02 ,pp. : 321-334

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Dynamic factor analysis to estimate common trends in fisheries time series

By Zuur A F   Tuck I D   Bailey N  

Canadian Journal of Fisheries and Aquatic Sciences, Vol. 60, Iss. 5, 2003-05 ,pp. : 542-552

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State–space model for light-based tracking of marine animals

By Sibert John R   Nielsen Anders  

Canadian Journal of Fisheries and Aquatic Sciences, Vol. 64, Iss. 8, 2007-08 ,pp. : 1055-1068

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Modelling and forecasting annual fisheries catches: comparison of regression, univariate and multivariate time series methods

By Stergiou K.I.   Christou E.D.  

Fisheries Research, Vol. 25, Iss. 2, 1996-02 ,pp. : 105-138

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