PreprintarXiv licencearXiv
Robust Model Order Selection via Dithered Differential Step-Down Thresholding
Abstract
We propose a differential step-down thresholding algorithm with randomized grid dithering for robust model order selection. It detects the value clustering of noise extrema. Our algorithm asymptotically achieves exact order recovery and prevents false alarms even under lowered detection thresholds.
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BibTeX
@misc{kharin2026robust,
title = {{Robust Model Order Selection via Dithered Differential Step-Down Thresholding}},
author = {Aleksandr Kharin},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2608.29868},
eprint = {2608.29868},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.29868},
}
RIS
TY - UNPB
TI - Robust Model Order Selection via Dithered Differential Step-Down Thresholding
AU - Aleksandr Kharin
PY - 2026
DA - 2026/10/20
PB - arXiv
DO - 10.48550/arxiv.2608.29868
UR - https://arxiv.org/abs/2608.29868
AB - We propose a differential step-down thresholding algorithm with randomized grid dithering for robust model order selection. It detects the value clustering of noise extrema. Our algorithm asymptotically achieves exact order recovery and prevents false alarms even under lowered detection thresholds.
ER -