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An online Bayesian approach to change-point detection for categorical data · Study

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ArticleAn online Bayesian approach to change-point detection for categorical data

Yiwei Fan2020

Article2020

An online Bayesian approach to change-point detection for categorical data

Yiwei Fan · Xiaoling Lu

9 citations·0/0 files stored·Knowledge-Based Systems

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Advanced Statistical Process Monitoring Bayesian Methods and Mixture Models Data Stream Mining Techniques

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References

2012Optimal Detection of Changepoints With a Linear Computational Cost 2016A survey of methods for time series change point detection 2007Bayesian Online Changepoint Detection 2013A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data 2010Understanding transportation modes based on GPS data for web applications 2013Change-point detection in time-series data by relative density-ratio estimation 2005An online kernel change detection algorithm 2014Graph-based change-point detection

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2021Change point detection for compositional multivariate dataarticle · 7 shared references 2021Sequential (Quickest) Change Detection: Classical Results and New Directionsarticle · 5 shared references 2018Real-Time Change Point Detection with Application to Smart Home Time Series Dataarticle · 5 shared references 2022Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series dataarticle · 5 shared references 2019Branch and Border: Partition-Based Change Detection in Multivariate Time Seriesother · 5 shared references 2021Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representationarticle · 4 shared references

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Year2020

Typearticle

Published2020-03-28

VenueKnowledge-Based Systems

ISSN-L0950-7051

Languageen

Citations9

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1016/j.knosys.2020.105792

openalex_workW3013948880

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