Change-Point Detection in Autoregressive Models with no Moment Assumptions
Author:
Affiliation:
1. Research Institute for Science and Engineering; Waseda University; Tokyo Japan
2. Fakultät für Mathematik; Ruhr-Universität Bochum; Bochum Germany
3. Department of Systems Science; Kyoto University; Kyoto Japan
Funder
Japan Society for the Promotion of Science
Waseda University
Deutsche Forschungsgemeinschaft
Publisher
Wiley
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/jtsa.12405/fullpdf
Reference29 articles.
1. Tests for parameter instability and structural change with unknown change point;Andrews;Econometrica,1993
2. Structural breaks in time series;Aue;Journal of Time Series Analysis,2013
3. On the partial sums of residuals in autoregressive and moving average models;Bai;Journal of Time Series Analysis,1993
4. Convergence of the sequential empirical processes of residuals in ARMA models;Bai;Annals of Statistics,1994
5. Empirical likelihood for break detection in time series;Baragona;Electronic Journal of Statistics,2013
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