{"ID":2847916,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.26204","arxiv_id":"2510.26204","title":"Sequential Change Detection Under Markov Setup With Unknown Prechange And Postchange Distributions","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2510.26204","url_pdf":"https://arxiv.org/pdf/2510.26204v3","authors":"[\"Ashish Bhoopesh Gulaguli\",\"Shashwat Singh\",\"Rakesh Kumar Bansal\"]","published":"2025-10-30T07:27:06Z","proceeding":"math.ST","tasks":"[\"math.ST\",\"cs.IT\",\"eess.SP\"]","methods":"[]","has_code":false}