Readings in Unobserved Components Models
By Andrew S. Harvey. 2005
94 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9f8fe9b139e9a61ab978545796ef22f1665f3a4f
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In Artificial Intelligence
In Statistics and Probability
Citations in the corpus
- Variance Shifts, Structural Breaks, and Stationarity Tests (2003, unknown): “[12]”
- Trend–Cycle Decompositions with Correlated Components (2006, background): “Discriminating among UC models unconditionally, ie, without assuming a particular reduced form, is a far more complex issue, since, despite the recent advances in testing and model specification in the unobserved components framework (see Harvey, 2001 ), it is impossible to get analytic results, du”
- Tests of stationarity against a change in persistence (2004, methodology): “We demonstrate by a series of simulation experiments that, for a given direction of change, the LBI-based approach can deliver considerably more powerful tests than both the subsample stationarity tests and the ratio-based tests of Kim et al. (2002) and Busetti and Taylor (2001).”