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Forecasting compositional time series : a state space approach
Snyder, Ralph D.; Ord, John Keith; Koehler, Anne B.; … - 2015
Persistent link: https://www.econbiz.de/10011781245
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Time series forecasting : the case for the single source of error state space
Ord, John Keith; Snyder, Ralph D.; Koehler, Anne B.; … - 2005
Persistent link: https://www.econbiz.de/10002728810
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Reconstructing the Kalman filter for stationary and non stationary time series
Snyder, Ralph D.; Forbes, Catherine Scipione - 2002
Persistent link: https://www.econbiz.de/10001722347
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Single source of error state space approach to the Beveridge Nelson decomposition
Anderson, Heather M.; Low, Chin Nam; Snyder, Ralph D. - 2004
Persistent link: https://www.econbiz.de/10002474772
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An assessment of alternative state space models for count time series
Snyder, Ralph D.; Martin, Gael M.; Gould, Phillip; … - 2007
Persistent link: https://www.econbiz.de/10003486451
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The vector innovation structural time series framework : a simple approach to multivariate forecasting
De Silva, Ashton; Hyndman, Rob J.; Snyder, Ralph D. - 2007
Persistent link: https://www.econbiz.de/10003486454
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Forecasting compositional time series with exponential smoothing methods
Koehler, Anne B.; Snyder, Ralph D.; Ord, John Keith; … - 2010
Persistent link: https://www.econbiz.de/10008759301
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Forecasting the intermittent demand for slow-moving items
Ord, John Keith; Snyder, Ralph D.; Beaumont, Adrian - 2010
Persistent link: https://www.econbiz.de/10008661652
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Understanding the Kalman filter : an object oriented programming perspective
Snyder, Ralph D.; Forbes, Catherine Scipione - 1999
Persistent link: https://www.econbiz.de/10001440588
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Incorporating a tracking signal into state space models for exponential smoothing
Snyder, Ralph D.; Koehler, Anne B. - 2006
Persistent link: https://www.econbiz.de/10003365310