An approximation to peak detection power using Gaussian random field theory

DOI10.1016/j.jmva.2024.105346MaRDI QIDQ6615370

Yu Zhao, Armin Schwartzman, Dan Cheng

Publication date: 8 October 2024

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

zbMATH Keywords

image analysisGaussian random fieldpeak detectionpower calculations

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12)

Cites Work

• Unnamed Item
• Inference for eigenvalues and eigenvectors of Gaussian symmetric matrices
• Expected number and height distribution of critical points of smooth isotropic Gaussian random fields
• Multiple testing of local maxima for detection of peaks in random fields
• On critical points of Gaussian random fields under diffeomorphic transformations
• Distribution of the height of local maxima of Gaussian random fields
• Vec and vech operators for matrices, with some uses in jacobians and multivariate statistics
• Random Fields and Geometry

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