Testing epidemic change in nearly nonstationary process with statistics based on residuals

Author:

Markevičiūtė Jurgita,Račkauskas Alfredas,Suquet Charles

Funder

the Research Council of Lithuania

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference18 articles.

1. Avery P, Henderson A (1999) Detecting a changed segment in DNA sequences. J R Stat Soc Ser C 48:489–503

2. Bingham N, Goldie C, Teugels J (1987) Regular variation. Encyclopedia of mathematics and its applications. Cambridge University Press, Cambridge

3. Broemeling L, Tsurumi H (1987) Econometrics and structural change. Marcel Dekker, New York

4. Ciuperca G (2014) Model selection by lasso methods in a change-point model. Stat Pap 55(2):349–374. doi: 10.1007/s00362-012-0482-x

5. Commenges D, Seal J, Pinatel F (1986) Inference about a change point in experimental neurophysiology. Math Biosci 80:81–108

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1. Time Series Additive Outlier Detection (OD) Algorithm Based on Residual Statistics;Lecture Notes on Data Engineering and Communications Technologies;2023

2. Functional limit theorems in Hölder space for residuals of nearly nonstationary AR1 process;Probability and Mathematical Statistics;2018-05-16

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