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Volumn , Issue , 2007, Pages 1337-1344

Mixture regression for covariate shift

Author keywords

[No Author keywords available]

Indexed keywords

COVARIATE SHIFTS; DENSITY ESTIMATION; DIFFERENT DISTRIBUTIONS; GENERAL APPROACH; GENERALISATION; MIXTURE REGRESSION; REGRESSION MODEL; SHEDDING LIGHT; TEST DATA; TEST POINTS;

EID: 34249051141     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (92)

References (19)
  • 4
    • 0001237218 scopus 로고
    • A maximum likelihood methodology for clusterwise linear regression
    • W.S. DeSarbo and W.L. Cron. A maximum likelihood methodology for clusterwise linear regression. Journal of Classification, 5:249-282, 1988.
    • (1988) Journal of Classification , vol.5 , pp. 249-282
    • Desarbo, W.S.1    Cron, W.L.2
  • 6
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? Which clustering method? Answers via model-based cluster analysis
    • C. Fraley and A.E. Raftery. How many clusters? Which clustering method? Answers via model-based cluster analysis. Computer Journal, 41:578-588, 1998.
    • (1998) Computer Journal , vol.41 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 7
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • J. J. Heckman. Sample selection bias as a specification error. Econometrica, 47:153-162, 1979.
    • (1979) Econometrica , vol.47 , pp. 153-162
    • Heckman, J.J.1
  • 8
    • 0034340248 scopus 로고    scopus 로고
    • Identifiability of models for clusterwise linear regressions
    • C. Hennig. Identifiability of models for clusterwise linear regressions. Journal of Classification, 17:273-296, 2000.
    • (2000) Journal of Classification , vol.17 , pp. 273-296
    • Hennig, C.1
  • 11
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the em algorithm
    • M. I. Jordan and R. A. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6:181-214, 1994.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 12
    • 0003488623 scopus 로고    scopus 로고
    • Consistent estimation of the order of mixture models
    • Laboratoire Analyse et Probabilité
    • C. Keribin. Consistent estimation of the order of mixture models. Technical report, Université d'Evry-Val d'Essonne, Laboratoire Analyse et Probabilité, 1997.
    • (1997) Technical Report, Université D'Evry-Val D'Essonne
    • Keribin, C.1
  • 14
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90:227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , pp. 227-244
    • Shimodaira, H.1
  • 15
    • 34249027984 scopus 로고    scopus 로고
    • Input-dependent estimation of generalisation error under covariate shift
    • M. Sugiyama and K. -R. Müller. Input-dependent estimation of generalisation error under covariate shift. Statistics and Decisions, 23:249-279, 2005.
    • (2005) Statistics and Decisions , vol.23 , pp. 249-279
    • Sugiyama, M.1    Müller, K.-R.2
  • 17
    • 65449187348 scopus 로고    scopus 로고
    • A general non-parametric approach to unobserved heterogeneity in the analysis of event history data
    • J. Hagenaars and A. McCutcheon, editors. Cambridge University Press
    • J.K. Vermunt. A general non-parametric approach to unobserved heterogeneity in the analysis of event history data. In J. Hagenaars and A. McCutcheon, editors, Applied Latent Class Models. Cambridge University Press, 2002.
    • (2002) Applied Latent Class Models
    • Vermunt, J.K.1
  • 18
    • 34249753047 scopus 로고
    • A mixture likelihood approach for generalised linear models
    • M. Wedel and W.S. DeSarbo. A mixture likelihood approach for generalised linear models. Journal of Classification, 12:21-55, 1995.
    • (1995) Journal of Classification , vol.12 , pp. 21-55
    • Wedel, M.1    Desarbo, W.S.2
  • 19
    • 14344263218 scopus 로고    scopus 로고
    • Learning and evaluating classifiers under sample selection bias
    • B. Zadrozny. Learning and evaluating classifiers under sample selection bias. In Proceedings of ICML, 2004.
    • (2004) Proceedings of ICML
    • Zadrozny, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.