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Updated: Sep 27, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
Published on: December 10, 2012
A Fast Multiple Change-Point Detection Method via Generalized Nearly Isotonic Optimization
Luoxin Wang1, Mengmeng Wang2, Baisuo Jin3,1
1Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China.
Abstract:
In this paper, we study the generalized nearly isotonic optimization (GNIO) model and its dynamic programming solution (GNIO-DP). We introduce randomness into the GNIO-DP algorithm, enabling its first application to change-point detection and resulting in an O(n) complexity multiple change-point detection method. At the same time, we provide the theoretical properties of the change-point detection and prove the reliability and effectiveness of the GNIO-DP algorithm for this task. The simulation results show that our method has strong change-point detection ability. Compared with traditional methods, our method is faster in most scenarios.
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