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Detecting Sparse Signals in Random Fields, With an Application to Brain Mapping

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  • Taylor, Jonathan E.
  • Worsley, Keith J.

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  • Taylor, Jonathan E. & Worsley, Keith J., 2007. "Detecting Sparse Signals in Random Fields, With an Application to Brain Mapping," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 913-928, September.
    • Handle: RePEc:bes:jnlasa:v:102:y:2007:m:september:p:913-928
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    Cited by:

    1. Bo Zhao & Joseph Glaz, 2016. "Scan Statistics for Detecting a Local Change in Variance for Normal Data with Known Variance," Methodology and Computing in Applied Probability, Springer, vol. 18(2), pages 563-573, June.
    2. Telschow, Fabian J.E. & Davenport, Samuel & Schwartzman, Armin, 2022. "Functional delta residuals and applications to simultaneous confidence bands of moment based statistics," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    3. Azaïs, Jean-Marc & Delmas, Céline, 2022. "Mean number and correlation function of critical points of isotropic Gaussian fields and some results on GOE random matrices," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 411-445.
    4. Anat Reiner-Benaim, 2016. "Scan Statistic Tail Probability Assessment Based on Process Covariance and Window Size," Methodology and Computing in Applied Probability, Springer, vol. 18(3), pages 717-745, September.
    5. Cheng, Dan & Schwartzman, Armin, 2020. "On critical points of Gaussian random fields under diffeomorphic transformations," Statistics & Probability Letters, Elsevier, vol. 158(C).
    6. Caponera, Alessia & Durastanti, Claudio & Vidotto, Anna, 2021. "LASSO estimation for spherical autoregressive processes," Stochastic Processes and their Applications, Elsevier, vol. 137(C), pages 167-199.
    7. Kampf, Jürgen, 2017. "A central limit theorem for Lebesgue integrals of random fields," Statistics & Probability Letters, Elsevier, vol. 124(C), pages 5-12.

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