# Sequential Change Detection Under Markov Setup With Unknown Prechange And Postchange Distributions

arXiv: https://arxiv.org/abs/2510.26204 · HTML: https://mlsanity.com/paper/2510.26204/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Oct 2025.

## Built on by (most cited first, 1 of 1)

- [Non-partitioned e-detectors for nonparametric sequential change detection](https://mlsanity.com/paper/2607.28322/) (2026)

## Abstract (arXiv)

In this work we extend the results developed in 2022 for a sequential change detection algorithm making use of Page's CUSUM statistic, the empirical distribution as an estimate of the pre-change distribution, and a universal code as a tool for estimating the post-change distribution, from the i.i.d. case to the Markov setup.