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Volumn 99, Issue 9, 2008, Pages 2154-2171

Simultaneous change point analysis and variable selection in a regression problem

Author keywords

62F12; 62J05; Change point analysis; Computation; Consistency; Linear models; Variable selection

Indexed keywords


EID: 52749084912     PISSN: 0047259X     EISSN: 10957243     Source Type: Journal    
DOI: 10.1016/j.jmva.2008.02.010     Document Type: Article
Times cited : (31)

References (11)
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    • Chen, J.1    Gupta, A.K.2    Pan, J.3
  • 5
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    • J. Fan, R. Li, Statistical challenges with high dimensionality: Feature selection in knowledge discovery, in: Proceedings of the International Congress of Mathematicians, Madrid, August 22-30, vol. III, 2006, pp. 595-622
    • J. Fan, R. Li, Statistical challenges with high dimensionality: Feature selection in knowledge discovery, in: Proceedings of the International Congress of Mathematicians, Madrid, August 22-30, vol. III, 2006, pp. 595-622
  • 7
    • 33749126802 scopus 로고    scopus 로고
    • Application of modified information criterion to multiple change point problems
    • Pan J., and Chen J. Application of modified information criterion to multiple change point problems. Journal of Multivariate Analysis 97 (2006) 2221-2241
    • (2006) Journal of Multivariate Analysis , vol.97 , pp. 2221-2241
    • Pan, J.1    Chen, J.2
  • 9
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    • A strongly consistent procedure for model selection in regression problem
    • Rao C.R., and Wu Y. A strongly consistent procedure for model selection in regression problem. Biometrika 76 (1989) 369-374
    • (1989) Biometrika , vol.76 , pp. 369-374
    • Rao, C.R.1    Wu, Y.2
  • 10
    • 15344338513 scopus 로고    scopus 로고
    • On model selection (with discussion)
    • Rao C.R., and Wu Y. On model selection (with discussion). IMS Lecture Notes vol. 38 (2001) 1-64
    • (2001) IMS Lecture Notes , vol.38 , pp. 1-64
    • Rao, C.R.1    Wu, Y.2
  • 11
    • 24144475030 scopus 로고    scopus 로고
    • A consistent procedure for determining the number of clusters in regression clustering
    • Shao Q., and Wu Y. A consistent procedure for determining the number of clusters in regression clustering. Journal of Statistical Planning and Inference 135 (2005) 461-476
    • (2005) Journal of Statistical Planning and Inference , vol.135 , pp. 461-476
    • Shao, Q.1    Wu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.