Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Concurrent time series with strong inter-series dependence occur in several areas of application where each may be modeled by the same Box-Jenkins ARIMA model. We present a method for explicitly incorporating the inter-series dependence in constructing shrinkage estimators of the model parameters by bootstrapping the covariance matrix of marginal parameter estimates. We also study improved estimation for the scale parameter. We present simulation studies to verify the amount of improvement in terms of expected mean squared error and Pitman nearness. © 1995, Taylor & Francis Group, LLC. All rights reserved.
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Linear Algebra and Its Applications
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SPIE Advances in Semiconductors and Superconductors 1990
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