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Asymptotically Optimal Pointwise and Minimax Change-point Detection for
  General Stochastic Models With a Composite Post-Change Hypothesis
v1v2v3 (latest)

Asymptotically Optimal Pointwise and Minimax Change-point Detection for General Stochastic Models With a Composite Post-Change Hypothesis

24 July 2018
S. Pergamenchtchikov
A. Tartakovsky
ArXiv (abs)PDFHTML

Papers citing "Asymptotically Optimal Pointwise and Minimax Change-point Detection for General Stochastic Models With a Composite Post-Change Hypothesis"

4 / 4 papers shown
Quickest Changepoint Detection in General Multistream Stochastic Models:
  Recent Results, Applications and Future Challenges
Quickest Changepoint Detection in General Multistream Stochastic Models: Recent Results, Applications and Future Challenges
A. Tartakovsky
V. Spivak
OOD
190
2
0
13 May 2023
Quickest Change Detection with Non-Stationary Post-Change Observations
Quickest Change Detection with Non-Stationary Post-Change Observations
Yuchen Liang
A. Tartakovsky
Venugopal V. Veeravalli
262
21
0
04 Oct 2021
Minimax and pointwise sequential changepoint detection and
  identification for general stochastic models
Minimax and pointwise sequential changepoint detection and identification for general stochastic modelsJournal of Multivariate Analysis (J. Multivar. Anal.), 2021
S. Pergamenchtchikov
A. Tartakovsky
V. Spivak
145
11
0
11 Aug 2021
An Asymptotic Theory of Joint Sequential Changepoint Detection and
  Identification for General Stochastic Models
An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
A. Tartakovsky
157
10
0
02 Feb 2021
1
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