Change-Point Monitoring in Linear Models
By Alexander Aue, Lajos Horv'ath, Marie Hušková, Piotr Kokoszka. 2006
115 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3bac975ab112ee500e85dfeeb62001bd1725db15
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Gregory Rice
- Lajos Horv'ath
- Alexander Aue
- Claudia Kirch
- Matthew Reimherr
- Marie Husková
- István Berkes
- Haeran Cho
In Finance
- Lajos Horv'ath
- Alexander Aue
- Gregory Rice
- Matthew Reimherr
- Marie Husková
- Claudia Kirch
- István Berkes
- Christian Francq
In Statistics and Probability
- Lajos Horv'ath
- Alexander Aue
- Gregory Rice
- Claudia Kirch
- Marie Husková
- Matthew Reimherr
- István Berkes
- Haeran Cho
Citations in the corpus
- Bootstrapping sequential change-point tests for linear regression (2012, methodology): “[4] show for the stopping time τ(m) of the procedure with the asymptotic critical values from Theorem 2.”
- DEPENDENT FUNCTIONAL LINEAR MODELS WITH APPLICATIONS TO MONITORING STRUCTURAL CHANGE (2014, unknown): “Contributions to the area include, but are not limited to, Leisch, Hornik, and Kuan (2000), Zeileis et al. (2005), Aue et al. (2006), and Hušková, Prašková, and Steinebach (2007).”
- Delay times of sequential procedures for multiple time series regression models (2009, methodology): “Other sequential procedures for the same testing problemwere introduced in Leisch et al. (2000), Horváth et al. (2004), Zeileis et al. (2005), and Aue et al. (2006b).”
- Extensions of some classical methods in change point analysis (2014, methodology): “Sequential monitoring for changes in the parameters of a linear model is considered in Aue et al. (2006a) and Černíková et al. (2013).”
- Strong approximation for the sums of squares of augmented GARCH sequences (2006, background): “In addition, strong approximations can also be used to develope sequential monitoring procedures (see Berkes et al. (2004; Aue and Horváth 2004; Aue et al. 2005; and Horváth et al. (2006).”