Covariance changes detection in multivariate time series
By Pedro Galeano, D. Pena. 2007
60 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7939ed72a071f1b2e433b0c9129b9c0247b9a591
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Ke-Li Xu
- Dominik Wied
- Peter C. B. Phillips
- Zhou Zhou
- Herold G. Dehling
- Jun Yu
- Lajos Horv'ath
- Tassos Magdalinos
In Statistics and Probability
- Ke-Li Xu
- Walter Krämer
- Zhou Zhou
- Peter C. B. Phillips
- Herold G. Dehling
- Dominik Wied
- Yixiao Sun
- Tassos Magdalinos
Citations in the corpus
- TESTING FOR A CHANGE IN CORRELATION AT AN UNKNOWN POINT IN TIME USING AN EXTENDED FUNCTIONAL DELTA METHOD (2011, background): “Whereas Galeano and Peña (2007) operate in a parametric setting, the Aue et al. (2009) approach is quite similar to ours.”
- Heteroscedasticity and Autocorrelation Robust Structural Change Detection (2013, background): “…the spectrum, Inclán and Tiao (1994) and Lee and Park (2001) for change point detection in marginal variance, Berkes, Gombay, and Horváth (2009) and Galeano and Pena (2007) for change detection in the autocovariance function, and Brown, Durbin, and Evans (1975), Davis, Huang, and Yao (1995),…”
- Adaptive Estimation of Autoregressive Models with Time-Varying Variances (2008, methodology): “We note in the simulations that the performance of the ALS estimator based on ( 12 ) is dominated”