On robust forecasting in dynamic vector time series models

Gagné, Christian; Duchesne, Pierre

doi:10.1016/j.jspi.2008.02.015

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Gagné et al presented a robust estimation and prediction in multivariate autoregressive models with exogenous variables, and tested several scenarios based on the finite sample properties of the robust prediction intervals in simulation [7]. Zhang proposed an approach to learn from rich user specific information and to satisfy complex user criteria under the graphical modeling framework, and the experimental results that demonstrated this approach was helpful to better understand the complex domain [8].…”

Section: Related Workmentioning

confidence: 99%

Air-combat behavior data mining based on truncation method

Yin¹,

Gong²,

Han³

2010

J. of Syst. Eng. Electron.

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This paper considers the problem of applying data mining techniques to aeronautical field. The truncation method, which is one of the techniques in the aeronautical data mining, can be used to efficiently handle the air-combat behavior data. The technique of air-combat behavior data mining based on the truncation method is proposed to discover the air-combat rules or patterns. The simulation platform of the air-combat behavior data mining that supports two fighters is implemented. The simulation experimental results show that the proposed air-combat behavior data mining technique based on the truncation method is feasible whether in efficiency or in effectiveness.

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Section: Related Workmentioning

confidence: 99%