Robust Dickey–Fuller tests based on ranks for time series with additive outliers

Metrika ◽  
2016 ◽  
Vol 80 (1) ◽  
pp. 115-131 ◽  
Author(s):  
V. A. Reisen ◽  
C. Lévy-Leduc ◽  
M. Bourguignon ◽  
H. Boistard
2003 ◽  
Vol 24 (2) ◽  
pp. 193-220 ◽  
Author(s):  
Pierre Perron ◽  
Gabriel Rodríguez

2009 ◽  
Author(s):  
Niels Haldrup ◽  
Andreu Sansó ◽  
Antonio Montañés

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Ping Chen ◽  
Ling Li ◽  
Ye Liu ◽  
Jin-Guan Lin

We propose a Gibbs sampling algorithm to detect additive outliers and patches of outliers in bilinear time series models based on Bayesian view. We first derive the conditional posterior distributions, and then use the results of first Gibbs run to start the second adaptive Gibbs sampling. It is shown that our procedure could reduce possible effects on masking and swamping. At last, some simulations are performed to demonstrate the efficacy of detection and estimation by Monte Carlo methods.


2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Niels Haldrup ◽  
Antonio Montañes ◽  
Andreu Sansó

2013 ◽  
Vol 34 (4) ◽  
pp. 454-465 ◽  
Author(s):  
Sam Astill ◽  
David I. Harvey ◽  
A. M. Robert Taylor

2019 ◽  
Vol 35 (3) ◽  
pp. 1393-1409
Author(s):  
Francesco Battaglia ◽  
Domenico Cucina ◽  
Manuel Rizzo

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