Oct. 7, 2022, 1:14 a.m. | Toby D. Hocking, Jacob M. Kaufman, Alyssa J. Stenberg

stat.ML updates on arXiv.org arxiv.org

Peak detection is a problem in sequential data analysis that involves
differentiating regions with higher counts (peaks) from regions with lower
counts (background noise).


It is crucial to correctly predict areas that deviate from the background
noise, in both the train and test sets of labels.


Dynamic programming changepoint algorithms have been proposed to solve the
peak detection problem by constraining the mean to alternatively increase and
then decrease.


The current constrained changepoint algorithms only create predictions on the
test …

arxiv partitioning

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