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Statistical Scale Space Methods

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  • Lasse Holmström
  • Leena Pasanen

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  • Lasse Holmström & Leena Pasanen, 2017. "Statistical Scale Space Methods," International Statistical Review, International Statistical Institute, vol. 85(1), pages 1-30, April.
    • Handle: RePEc:bla:istatr:v:85:y:2017:i:1:p:1-30
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    File URL: http://hdl.handle.net/10.1111/insr.12155
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    References listed on IDEAS

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    1. Fryzlewicz, Piotr & Oh, H. S., 2011. "Thick pen transformation for time series," LSE Research Online Documents on Economics 37663, London School of Economics and Political Science, LSE Library.
    2. Park, Cheolwoo & Godtliebsen, Fred & Taqqu, Murad & Stoev, Stilian & Marron, J.S., 2007. "Visualization and inference based on wavelet coefficients, SiZer and SiNos," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5994-6012, August.
    3. Lingsong Zhang & Zhengyuan Zhu & J. S. Marron, 2014. "Multiresolution anomaly detection method for fractional Gaussian noise," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(4), pages 769-784, April.
    4. J. S. Marron & S. S. Chung, 2001. "Presentation of smoothers: the family approach," Computational Statistics, Springer, vol. 16(1), pages 195-207, March.
    5. Olsen, Lena Ringstad & Chaudhuri, Probal & Godtliebsen, Fred, 2008. "Multiscale spectral analysis for detecting short and long range change points in time series," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3310-3330, March.
    6. Duong, Tarn & Cowling, Arianna & Koch, Inge & Wand, M.P., 2008. "Feature significance for multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4225-4242, May.
    7. Thon, Kevin & Rue, Håvard & Skrøvseth, Stein Olav & Godtliebsen, Fred, 2012. "Bayesian multiscale analysis of images modeled as Gaussian Markov random fields," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 49-61, January.
    8. Hannig, J. & Marron, J.S., 2006. "Advanced Distribution Theory for SiZer," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 484-499, June.
    9. P. Fryzlewicz & H.‐S. Oh, 2011. "Thick pen transformation for time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 499-529, September.
    10. Leena Pasanen & Lasse Holmstr�m, 2015. "Bayesian scale space analysis of temporal changes in satellite images," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(1), pages 50-70, January.
    11. Park, Cheolwoo & Ahn, Jeongyoun & Hendry, Martin & Jang, Woncheol, 2011. "Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 832-845.
    12. Park, Cheolwoo & Kang, Kee-Hoon, 2008. "SiZer analysis for the comparison of regression curves," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3954-3970, April.
    13. Godtliebsen, Fred & Oigard, Tor Arne, 2005. "A visual display device for significant features in complicated signals," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 317-343, February.
    14. Cheolwoo Park & J. S. Marron & Vitaliana Rondonotti, 2004. "Dependent SiZer: Goodness-of-Fit Tests for Time Series Models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(8), pages 999-1017.
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    Cited by:

    1. Vuollo, Ville & Holmström, Lasse, 2018. "A scale space approach for exploring structure in spherical data," Computational Statistics & Data Analysis, Elsevier, vol. 125(C), pages 57-69.
    2. Kristian Hindberg & Jan Hannig & Fred Godtliebsen, 2019. "A novel scale-space approach for multinormality testing and the k-sample problem in the high dimension low sample size scenario," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-20, January.

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