Non‐Parametric Change‐Point Tests for Long‐Range Dependent Data
By Herold G. Dehling, A. Rooch, Murad S. Taqqu. 2013
99 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/39257e4323a8f4cc596b27d1dffd869ee8ac4f0a
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In Statistics and Probability
- Howell Tong
- Shuyang Bai
- Murad S. Taqqu
- Martin Wendler
- Olimjon Sh. Sharipov
- Lihua Xiong
- J. Tewes
- Matthias Schulte
Citations in the corpus
- Threshold models in time series analysis—Some reflections (2015, methodology): “Hamilton (1989) had not referred to the above references when he gave his development of the Markov switching model.”
- Sequential block bootstrap in a Hilbert space with application to change point analysis (2014, background): “The third case was extended by Dehling, Rooch and Taqqu [10].”
- Exploring the ability of the Pettitt method for detecting change point by Monte Carlo simulation (2014, background): “…literatures, the change point problems have been much investigated and studied (Giraitis et al. 1996; Berkes et al. 2006; Ling 2007; Antoch et al. 2008; Wang 2008; Spokoiny 2009; Zhao et al. 2010; Yamaguchi 2011; Kim and Lee 2011; Dehling et al. 2012; Hušková and Kirch 2012; Tan et al. 2013).”
- Generalized Hermite processes, discrete chaos and limit theorems (2013, background): “and Tudor [2], Veillette and Taqqu [32], Maejima and Tudor [15, 16]. Hermite processes frequently appear in statistical inference problems involving LRD, e.g., L´evy-Leduc et al. [13], Dehling et al. [4]. It is interesting to note that when the stationary sequence {X(n)} is LRD, one can obtain in th”