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Detecting non-simultaneous changes in means of vectors

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Abstract

Likelihood ratio type test statistics are suggested for detecting changes in means of coordinates of observed random vectors. It is supposed that changes in different coordinates need not to occur at the same time. Under the assumption of no change, asymptotic distributions of the proposed test statistics are given by distributions of maxima of \(\chi ^2\) random fields. High-level exceedance probabilities of non-homogeneous \(\chi ^2\) fields may be applied to get approximate asymptotic critical values.

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References

  • Albin JMP (1990) On extremal theory for stationary processes. Ann Probab 18:92–128

    Article  MATH  MathSciNet  Google Scholar 

  • Andrews DWK (1993) Tests for parameter instability and structural change with unknown change point. Econometrica 61:821–856

    Article  MATH  MathSciNet  Google Scholar 

  • Antoch J, Jarušková D (2013) Testing for multiple change points. Comput Stat 28:2161–2183

    Article  MATH  Google Scholar 

  • Camuffo D, Jones P (eds) (2002) Improved understanding of past climatic variability from early daily European instrumental sources. Clim Change 53:1–3

  • Chan HP, Lai TL (2006) Maxima of asymptotically Gaussian random fields and moderate deviation approximations to boundary crossing probabilities of sums of random variables with multidimensional indices. Ann Probab 34:80–121

    Article  MATH  MathSciNet  Google Scholar 

  • Chen J, Gupta AK (2000) Parametrical change point analysis. Birkhaüser, New York

    Book  Google Scholar 

  • Csörgő M, Horváth L (1997) Limit theorems in change point analysis. Wiley, New York

    Google Scholar 

  • Guédon Y (2013) Exploring the latent segmentation space for the assessment of multiple change-point models. Comput Stat 28:2641–2678

    Article  MATH  Google Scholar 

  • Hidalgo J, Seo MH (2013) Testing for structural stability in the whole sample. J Econ 175:84–93

    Article  MATH  MathSciNet  Google Scholar 

  • Horváth L, Kokoszka P (1999) Testing for changes in multivariate dependent observations with an application to temperature changes. J Multivar Anal 68:96–119

    Article  MATH  Google Scholar 

  • Horváth L, Rice G (2014) Extensions of some classical methods in change point analysis. Test 23:219–255

    Article  MATH  MathSciNet  Google Scholar 

  • Jandhyala VK, Fotopoulos SB, MacNeil I, Liu P (2013) Inference for single and multiple change-points in time series. J Time Ser Anal 34:423–446

    Article  MATH  Google Scholar 

  • Jarušková D (2010) Asymptotic behaviour of a test statistic for detection of change in mean of vectors. J Stat Plan Inference 140:616–625

    Article  MATH  Google Scholar 

  • Jarušková D, Piterbarg VI (2011) Log-likelihood ratio test for detecting transient change. Stat Probab Lett 81:552–559

    Article  MATH  Google Scholar 

  • Jarušková D (2011) Detection of transient change in mean—a linear behavior inside epidemic interval. Kybernetika 47:1–14

    MathSciNet  Google Scholar 

  • Kabluchko Z (2008) Extreme-value analysis of standardized Gaussian increaments. arXiv:0706.1849v3 [math.PR]

  • Killick R, Fearnhead P, Eckley IA (2012) Optimal detection of change-points with a linear computational cost. J Am Stat Assoc 107:1590–1598

    Article  MATH  MathSciNet  Google Scholar 

  • Piterbarg VI (1996) Asymptotic methods in theory of Gaussian processes and fields. AMS, Providence

    MATH  Google Scholar 

  • Reschenhofer E, Preinerstorfer D, Steinberger L (2013) Non-monotonic penalizing for the number of structural breaks. Comput Stat 28:2585–2598

    Article  MATH  MathSciNet  Google Scholar 

  • Siegmund D (1986) Boundary crossing probabilities and statistical applications. Ann Stat 14:361–404

    Article  MATH  MathSciNet  Google Scholar 

  • Tan Z, Hashorva E (2013) Exact asymptotics a limit theorems for supremum of stationary \(\chi \)-processes over a random interval. Stoch Process Appl 123:2983–2998

    Article  MATH  MathSciNet  Google Scholar 

  • Zhang NR, Siegmund DO (2012) Model selection for high-dimensional multisequence change-point problems. Stat Sin 22:1507–1538

    MATH  MathSciNet  Google Scholar 

Download references

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Correspondence to Daniela Jarušková.

Additional information

This work was supported by Grant GAČR 403-15-09663S.

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Jarušková, D. Detecting non-simultaneous changes in means of vectors. TEST 24, 681–700 (2015). https://doi.org/10.1007/s11749-015-0429-3

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  • DOI: https://doi.org/10.1007/s11749-015-0429-3

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