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Sequential Analysis
Design Methods and Applications
Volume 32, 2013 - Issue 1
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Original Articles

Change-Points: From Sequential Detection to Biology and Back

Pages 2-14 | Received 06 Jun 2012, Accepted 04 Oct 2012, Published online: 01 Feb 2013

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (3)

Laura Jula Vanegas, Merle Behr & Axel Munk. (2022) Multiscale Quantile Segmentation. Journal of the American Statistical Association 117:539, pages 1384-1397.
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Alexander G. Tartakovsky. (2016) Discussion on “Sequential detection/isolation of abrupt changes” by Igor V. Nikiforov. Sequential Analysis 35:3, pages 320-323.
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Articles from other publishers (23)

A. A. Borovkov. (2023) On the Asymptotic Approach to the Change-Point Problem and Exponential Convergence Rate in the Ergodic Theorem for Markov Chains. Theory of Probability & Its Applications 68:3, pages 370-391.
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Alexander G. Tartakovsky. (2023) Quick and Complete Convergence in the Law of Large Numbers with Applications to Statistics. Mathematics 11:12, pages 2687.
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Александр Алексеевич Боровков & Alexander Alekseevich Borovkov. (2023) Об асимптотическом подходе к задаче о разладке и экспоненциальной сходимости в эргодической теореме для цепей МарковаOn an asymptotic approach to the change point detection problem and exponential convergence rate in the ergodic theorem for Markov chains. Теория вероятностей и ее применения Teoriya Veroyatnostei i ee Primeneniya 68:3, pages 456-482.
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Edward Austin, Gaetano Romano, Idris A. Eckley & Paul Fearnhead. (2023) Online non-parametric changepoint detection with application to monitoring operational performance of network devices. Computational Statistics & Data Analysis 177, pages 107551.
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Austin Warner & Georgios Fellouris. (2022) CuSum for sequential change diagnosis. CuSum for sequential change diagnosis.
Neil Hwang, Jiarui Xu, Shirshendu Chatterjee & Sharmodeep Bhattacharyya. (2021) The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data. Sankhya A 84:1, pages 283-320.
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Francesco Bardozzo, Pietro Lió & Roberto Tagliaferri. (2021) Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinformatics 37:10, pages 1411-1419.
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Liyan Xie, Shaofeng Zou, Yao Xie & Venugopal V. Veeravalli. (2021) Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE Journal on Selected Areas in Information Theory 2:2, pages 494-514.
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Yi Guo, Lei Gao & Yan Zhu. (2021) ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence. Journal of Mathematics 2021, pages 1-10.
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Alexander G. Tartakovsky. (2019) Asymptotic Optimality of Mixture Rules for Detecting Changes in General Stochastic Models. IEEE Transactions on Information Theory 65:3, pages 1413-1429.
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Housen Li, Qinghai Guo & Axel Munk. (2019) Multiscale change-point segmentation: beyond step functions. Electronic Journal of Statistics 13:2.
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Zdeněk Hlávka & Marie Hušková. 2019. Stochastic Models, Statistics and Their Applications. Stochastic Models, Statistics and Their Applications 143 155 .
Salvatore Fasola, Vito M. R. Muggeo & Helmut Küchenhoff. (2017) A heuristic, iterative algorithm for change-point detection in abrupt change models. Computational Statistics 33:2, pages 997-1015.
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Farida Enikeeva, Axel Munk & Frank Werner. (2018) Bump detection in heterogeneous Gaussian regression. Bernoulli 24:2.
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Merle Behr, Chris Holmes & Axel Munk. (2018) Multiscale blind source separation. The Annals of Statistics 46:2.
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Yang Cao, Liyan Xie, Yao Xie & Huan Xu. (2018) Sequential Change-Point Detection via Online Convex Optimization. Entropy 20:2, pages 108.
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Georgios Fellouris & Alexander G. Tartakovsky. (2017) Multichannel Sequential Detection—Part I: Non-i.i.d. Data. IEEE Transactions on Information Theory 63:7, pages 4551-4571.
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Inder Tecuapetla‐Gómez & Axel Munk. (2016) Autocovariance Estimation in Regression with a Discontinuous Signal and m ‐Dependent Errors: A Difference‐Based Approach . Scandinavian Journal of Statistics 44:2, pages 346-368.
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Alexander G. Tartakovsky. (2017) On Asymptotic Optimality in Sequential Changepoint Detection: Non-iid Case. IEEE Transactions on Information Theory 63:6, pages 3433-3450.
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Krzysztof J. Szajowski. (2016) Detecting the Maintenance Disruption in Competitive Queue. Detecting the Maintenance Disruption in Competitive Queue.
Housen Li, Axel Munk & Hannes Sieling. (2016) FDR-control in multiscale change-point segmentation. Electronic Journal of Statistics 10:1.
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Yuan Wang & Yajun Mei. (2015) Large-Scale Multi-Stream Quickest Change Detection via Shrinkage Post-Change Estimation. IEEE Transactions on Information Theory 61:12, pages 6926-6938.
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Klaus Frick, Axel Munk & Hannes Sieling. (2014) Multiscale Change Point Inference. Journal of the Royal Statistical Society Series B: Statistical Methodology 76:3, pages 495-580.
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