Change-point Localization

Change-Point Localization is the task of precisely identifying the temporal or spatial positions at which the statistical properties of a stochastic process undergo abrupt changes, distinguishing it from broader change-point detection by focusing on the exact estimation of change-point locations rather than mere existence or number.

213

Publications

10.6K

Citations

456

Authors

300

Institutions

Publications per year

2017–2026

65

Authors

456

  1. DW
    Daren Wang

    University of Michigan, United States

    9 publications · 328 citations

    9

    h-index

  2. YY
    Yi Yu

    University of Science and Technology of China, China

    9 publications · 318 citations

    9

    h-index

  3. AR
    Alessandro Rinaldo

    Carnegie Mellon University, United States

    8 publications · 305 citations

    8

    h-index

  4. ZH
    Zaïd Harchaoui

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 601 citations

    5

    h-index

  5. LH
    Lajos Horváth

    University of Utah, United States

    4 publications · 163 citations

    4

    h-index

1–5 of 456

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 489 citations

    15

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 10 publications · 325 citations

    10

    h-index

  3. Technometrics

    7 publications · 448 citations

    7

    h-index

  4. Journal of Statistical Planning and Inference

    6 publications · 144 citations

    6

    h-index

  5. Statistics & Probability Letters

    6 publications · 102 citations

    6

    h-index

1–5