Dating the break in high-dimensional data

Article Properties
  • DOI (url)
    10.3150/22-bej1567
  • Publication Date
    2023/11/01
  • Journal
    Bernoulli
  • Indian UGC (journal)
  • Refrences
    45
  • Runmin Wang Department of Statistics, Texas A&M University, College Station, Texas 77843, U.S.A
  • Xiaofeng Shao Department of Statistics, University of Illinois at Urbana-Champaign, Illinois 61820, U.S.A
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-1-4757-2545-2
Adaptive Inference for Change Points in High-Dimensional Data Journal of the American Statistical Association
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 6 2021
Detecting simultaneous changepoints in multiple sequences Biometrika
  • Science: Biology (General)
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 98 2010
Model selection for high dimensional multi-sequence change-point problems Statistica Sinica
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 12 2012
Finite Sample Change Point Inference and Identification for High-Dimensional Mean Vectors

 Journal of the Royal Statistical Society Series B: Statistical Methodology
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 17 2020