Random Interval Distillation for Detection of Change-Points in Markov Chain Bernoulli Networks

被引：0
|
作者：
Fan, Xinyuan [1 ]
Wu, Weichi [1 ]
机构：
[1] Department of Statistics and Data Science, Tsinghua University, China
来源：
arXiv |
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Change detection - Generative adversarial networks
引用
收藏
相关论文
共 50 条
  • [1] Change-points in Bernoulli trials with dependence
    Krauth, J
    BETWEEN DATA SCIENCE AND APPLIED DATA ANALYSIS, 2003, : 261 - 269
  • [2] Detecting change-points in Markov chains
    Polansky, Alan M.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 51 (12) : 6013 - 6026
  • [3] Online detection of cascading change-points using diffusion networks
    Zhang, Rui
    Xie, Yao
    Yao, Rui
    Qiu, Feng
    2022 58TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2022,
  • [4] A Markov random field model for change points detection
    Drabech, Zakariae
    Douimi, Mohammed
    Zemmouri, Elmoukhtar
    JOURNAL OF COMPUTATIONAL SCIENCE, 2024, 83
  • [5] Sequential detection and estimation of change-points
    Brodsky B.
    Sequential Analysis, 2010, 29 (02) : 217 - 233
  • [6] Detection and forecast of change-points in economic development
    Hindls, R
    Hronová, S
    POLITICKA EKONOMIE, 2002, 50 (02) : 217 - 227
  • [7] Multiple change-points detection in high dimension
    Wang, Yunlong
    Zou, Changliang
    Wang, Zhaojun
    Yin, Guosheng
    RANDOM MATRICES-THEORY AND APPLICATIONS, 2019, 8 (04)
  • [8] Detection of multiple change-points in multivariate data
    Maboudou-Tchao, Edgard M.
    Hawkins, Douglas M.
    JOURNAL OF APPLIED STATISTICS, 2013, 40 (09) : 1979 - 1995
  • [9] Sequential detection of change-points in linear models
    Brodsky, Boris
    Sequential Analysis, 2009, 28 (02) : 281 - 308
  • [10] On the detection of change-points in structural deformation analysis
    Neuner, Hans
    Kutterer, Hansjoerg
    JOURNAL OF APPLIED GEODESY, 2007, 1 (02) : 63 - 70
12345