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Volumn 109, Issue 505, 2014, Pages 334-345

A nonparametric approach for multiple change point analysis of multivariate data

Author keywords

Cluster analysis; Multivariate time series; Permutation tests; Signal processing; U statistics

Indexed keywords


EID: 84901769096     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2013.849605     Document Type: Article
Times cited : (484)

References (39)
  • 1
    • 84873619448 scopus 로고    scopus 로고
    • EventDetection in Time Series of Mobile Communication Graphs
    • in [334]
    • Akoglu, L., and Faloutsos, C. (2010), "EventDetection in Time Series of Mobile Communication Graphs, " in Proceedings of the Army Science Conference, pp. 18-25. [334]
    • (2010) Proceedings of the Army Science Conference , pp. 18-25
    • Akoglu, L.1    Faloutsos, C.2
  • 4
    • 0042421807 scopus 로고    scopus 로고
    • Statistical Fraud Detection: A Review
    • [334]
    • Bolton, R., and Hand, D. (2002), "Statistical Fraud Detection: A Review, " Statistical Science, 17, 235-255. [334]
    • (2002) Statistical Science , vol.17 , pp. 235-255
    • Bolton, R.1    Hand, D.2
  • 5
    • 0001611076 scopus 로고
    • Hierarchical Bayesian Analysis of Changepoint Problems
    • [334]
    • Carlin, B. P., Gelfand, A. E., and Smith, A. F. (1992), "Hierarchical Bayesian Analysis of Changepoint Problems, " Applied Statistics, 41, 389-405. [334]
    • (1992) Applied Statistics , vol.41 , pp. 389-405
    • Carlin, B.P.1    Gelfand, A.E.2    Smith, A.F.3
  • 6
    • 84858431431 scopus 로고    scopus 로고
    • Multiscale and Multilevel Technique for Consistent Segmentation of Nonstationary Time Series
    • [335]
    • Cho, H., and Fryzlewicz, P. (2012), "Multiscale and Multilevel Technique for Consistent Segmentation of Nonstationary Time Series, " Statistica Sinica, 22. [335]
    • (2012) Statistica Sinica , vol.22
    • Cho, H.1    Fryzlewicz, P.2
  • 9
    • 70450280391 scopus 로고    scopus 로고
    • Sequential Implementation of Monte Carlo Tests With Uniformly Bounded Resampling Risk
    • [337]
    • Gandy, A. (2009), "Sequential Implementation of Monte Carlo Tests With Uniformly Bounded Resampling Risk, " Journal of the American Statistical Association, 104, 1504-1511. [337]
    • (2009) Journal of the American Statistical Association , vol.104 , pp. 1504-1511
    • Gandy, A.1
  • 12
    • 41849138696 scopus 로고    scopus 로고
    • Optimal Rate of Convergence for Nonparametric Change-Point Estimators for Nonstationary Sequences
    • [334]
    • Hariz, S. B., Wylie, J. J., and Zhang, Q. (2007), "Optimal Rate of Convergence for Nonparametric Change-Point Estimators for Nonstationary Sequences, " The Annals of Statistics, 35, 1802-1826. [334]
    • (2007) The Annals of Statistics , vol.35 , pp. 1802-1826
    • Hariz, S.B.1    Wylie, J.J.2    Zhang, Q.3
  • 13
    • 0035964980 scopus 로고    scopus 로고
    • FittingMultiple Change-Point Models to Data
    • [334,344]
    • Hawkins, D. M. (2001), "FittingMultiple Change-Point Models to Data, " Computational Statistics and Data Analysis, 37323-341. [334,344]
    • (2001) Computational Statistics and Data Analysis , pp. 37323-37341
    • Hawkins, D.M.1
  • 14
    • 0004044304 scopus 로고
    • Technical Report 302, North Carolina State University, Department of Statistics. [336]
    • Hoeffding, W. (1961), "The Strong Law of Large Numbers for U-statistics, " Technical Report 302, North Carolina State University, Department of Statistics. [336]
    • (1961) The Strong Law of Large Numbers for U-statistics
    • Hoeffding, W.1
  • 18
    • 84858312965 scopus 로고    scopus 로고
    • Sequential Change-Point Detection Based on Direct Density-Ratio Estimation
    • [334]
    • Kawahara, Y., and Sugiyama, M. (2011), "Sequential Change-Point Detection Based on Direct Density-Ratio Estimation, " Statistical Analysis and Data Mining, 5, 114-127. [334]
    • (2011) Statistical Analysis and Data Mining , vol.5 , pp. 114-127
    • Kawahara, Y.1    Sugiyama, M.2
  • 20
    • 67651119911 scopus 로고    scopus 로고
    • Using Labeled Data to Evaluate Change Detectors in a Multivariate Streaming Environment
    • [334]
    • Kim, A., Marzban, C., Percival, D., and Stuetzie, W. (2009), "Using Labeled Data to Evaluate Change Detectors in a Multivariate Streaming Environment, " Signal Processing, 89, 2529-2536. [334]
    • (2009) Signal Processing , vol.89 , pp. 2529-2536
    • Kim, A.1    Marzban, C.2    Percival, D.3    Stuetzie, W.4
  • 21
    • 33751270911 scopus 로고    scopus 로고
    • Detection ofMultiple Change-Points in Multivariate Time Series
    • [334,335,344]
    • Lavielle, M., and Teyssière, G. (2006), "Detection ofMultiple Change-Points in Multivariate Time Series, " Lithuanian Mathematical Journal, 46, 287-306. [334,335,344]
    • (2006) Lithuanian Mathematical Journal , vol.46 , pp. 287-306
    • Lavielle, M.1    Teyssière, G.2
  • 23
    • 84873163441 scopus 로고    scopus 로고
    • Summarizing Categorical Data by Clustering Attributes
    • [334]
    • Mampaey, M., and Vreeken, J. (2011), "Summarizing Categorical Data by Clustering Attributes, " Data Mining and Knowledge Discovery, 24, 1-44. [334]
    • (2011) Data Mining and Knowledge Discovery , vol.24 , pp. 1-44
    • Mampaey, M.1    Vreeken, J.2
  • 25
    • 84973745157 scopus 로고
    • The Measurement of Classification Agreement: An Adjustment to the Rand Statistic for Chance Agreement
    • [339]
    • Morey, L. C., and Agresti, A. (1984), "The Measurement of Classification Agreement: An Adjustment to the Rand Statistic for Chance Agreement, " Educational and Psychological Measurement, 44, 33-37. [339]
    • (1984) Educational and Psychological Measurement , vol.44 , pp. 33-37
    • Morey, L.C.1    Agresti, A.2
  • 26
    • 78651448134 scopus 로고    scopus 로고
    • Efficient Change Point Detection for Genomic Sequences of Continuous Measurements
    • [334]
    • Muggeo, V. M., and Adelfio, G. (2011), "Efficient Change Point Detection for Genomic Sequences of Continuous Measurements, " Bioinformatics, 27, 161-166. [334]
    • (2011) Bioinformatics , vol.27 , pp. 161-166
    • Muggeo, V.M.1    Adelfio, G.2
  • 27
    • 3543105225 scopus 로고    scopus 로고
    • Circular Binary Segmentation for the Analysis of Array-Based DNA Copy Number Data
    • [335,336]
    • Olshen, A. B., and Venkatraman, E. (2004), "Circular Binary Segmentation for the Analysis of Array-Based DNA Copy Number Data, " Biostatistics, 5, 557-572. [335,336]
    • (2004) Biostatistics , vol.5 , pp. 557-572
    • Olshen, A.B.1    Venkatraman, E.2
  • 28
    • 0002916530 scopus 로고
    • Continuous Inspection Schemes
    • [334]
    • Page, E. (1954), "Continuous Inspection Schemes, " Biometrika, 41, 100-115. [334]
    • (1954) Biometrika , vol.41 , pp. 100-115
    • Page, E.1
  • 29
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team. Vienna, Austria: R Foundation for Statistical Computing. [339]
    • R Development Core Team., (2012), R: A Language and Environment for Statistical Computing, Vienna, Austria: R Foundation for Statistical Computing. [339]
    • (2012) R: A Language and Environment for Statistical Computing
  • 30
    • 84950632109 scopus 로고
    • Objective Criteria for the Evaluation of Clustering Methods
    • [339]
    • Rand, W. M. (1971), "Objective Criteria for the Evaluation of Clustering Methods, " Journal of the American Statistical Association, 66, 846-850. [339]
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.M.1
  • 32
    • 84866238702 scopus 로고    scopus 로고
    • Disco Analysis: A Nonparametric Extension of Analysis of Variance
    • [335]
    • Rizzo, M. L., and Székely, G. J. (2010), "Disco Analysis: A Nonparametric Extension of Analysis of Variance, " The Annals of Applied Statistics, 4, 1034-1055. [335]
    • (2010) The Annals of Applied Statistics , vol.4 , pp. 1034-1055
    • Rizzo, M.L.1    Székely, G.J.2
  • 34
    • 33744761434 scopus 로고    scopus 로고
    • Hierarchical Clustering via Joint Between-Within Distances: ExtendingWard's MinimumVariance Method
    • [334,335]
    • Székely, G. J., and Rizzo, M. L. (2005), "Hierarchical Clustering via Joint Between-Within Distances: ExtendingWard's MinimumVariance Method, " Journal of Classification, 22, 151-183. [334,335]
    • (2005) Journal of Classification , vol.22 , pp. 151-183
    • Székely, G.J.1    Rizzo, M.L.2
  • 35
    • 20744459144 scopus 로고    scopus 로고
    • Structural Learning With Time-Varying Components: Tracking the Cross-Section of Financial Time Series
    • [334]
    • Talih, M., and Hengartner, N. (2005), "Structural Learning With Time-Varying Components: Tracking the Cross-Section of Financial Time Series, " Journal of the Royal Statistical Society, 67, 321-341. [334]
    • (2005) Journal of the Royal Statistical Society , vol.67 , pp. 321-341
    • Talih, M.1    Hengartner, N.2
  • 37
    • 0002085217 scopus 로고
    • Detection Disorder in Multidimensional Random Processes
    • [335,338]
    • Vostrikova, L. (1981), "Detection Disorder in Multidimensional Random Processes, " Soviet Mathematics Doklady, 24, 55-59. [335,338]
    • (1981) Soviet Mathematics Doklady , vol.24 , pp. 55-59
    • Vostrikova, L.1
  • 38
    • 33847378251 scopus 로고
    • Estimating the Number of Change-Points via Schwarz Criterion
    • [334]
    • Yao, Y. C. (1987), "Estimating the Number of Change-Points via Schwarz Criterion, " Statistics & Probability Letters, 6, 181-189. [334]
    • (1987) Statistics & Probability Letters , vol.6 , pp. 181-189
    • Yao, Y.C.1
  • 39
    • 34247243220 scopus 로고    scopus 로고
    • A Modified Bayes Information Criterion With Applications to the Analysis of Comparative Genomic Hybridization Data
    • [334]
    • Zhang, N. R., and Siegmund, D. O. (2007), "A Modified Bayes Information Criterion With Applications to the Analysis of Comparative Genomic Hybridization Data, " Biometrics, 63, 22-32. [334]
    • (2007) Biometrics , vol.63 , pp. 22-32
    • Zhang, N.R.1    Siegmund, D.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.