A computationally efficient approach on detecting star-shaped change boundaries in random fields with heavy-tailed distributions

DOI10.1016/J.MATCOM.2019.10.008OpenAlexW2988647865MaRDI QIDQ1997885

Jheng-Ting Wang, Tsung-Lin Cheng

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2019.10.008

zbMATH Keywords

CUSUMheavy-tailed distributionrandom fieldsstar-shaped change boundary

Mathematics Subject Classification ID

Nonparametric inference (62Gxx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

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• Minimax theory of image reconstruction
• Strong convergence rate of robust estimator of change point
• An efficient algorithm for estimating a change-point
• Boundary Estimation

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