메뉴 건너뛰기




Volumn 90, Issue 1, 2003, Pages 99-112

Likelihood inference in nearest-neighbour classification models

Author keywords

k nearest neighbour; Maximum pseudolikelihood; Nonparametric classification; Probabilistic nearest neighbour

Indexed keywords


EID: 3843108856     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/90.1.99     Document Type: Article
Times cited : (27)

References (33)
  • 2
    • 0002909927 scopus 로고
    • On entropy minimization principle
    • Ed. P. R. Krishnaiah. Amsterdam: North Holland
    • AKAIKE, H. (1977). On entropy minimization principle. In Application of Statistics, Ed. P. R. Krishnaiah, pp. 27-42. Amsterdam: North Holland.
    • (1977) Application of Statistics , pp. 27-42
    • Akaike, H.1
  • 3
    • 51649158663 scopus 로고
    • A Bayesian analysis of the minimum AIC procedure
    • AKAIKE, H. (1978). A Bayesian analysis of the minimum AIC procedure. Ann. Inst. Statist. Math. 30A, 9-14.
    • (1978) Ann. Inst. Statist. Math. , vol.30 A , pp. 9-14
    • Akaike, H.1
  • 4
    • 0001945196 scopus 로고
    • Nearest-neighbour systems and the auto-logistic model for binary data
    • BESAG, J. E. (1972). Nearest-neighbour systems and the auto-logistic model for binary data. J. R. Statist. Soc. B 34, 75-83.
    • (1972) J. R. Statist. Soc. B , vol.34 , pp. 75-83
    • Besag, J.E.1
  • 5
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • BESAG, J. E. (1974). Spatial interaction and the statistical analysis of lattice systems (with Discussion). J. R. Statist. Soc. B 36, 192-236.
    • (1974) J. R. Statist. Soc. B , vol.36 , pp. 192-236
    • Besag, J.E.1
  • 6
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • BESAG, J. E. (1986). On the statistical analysis of dirty pictures (with Discussion). J. R. Statist. Soc. B 48, 259-302.
    • (1986) J. R. Statist. Soc. B , vol.48 , pp. 259-302
    • Besag, J.E.1
  • 8
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • BLAKE, C. L. & MERZ, C. J. (1998). UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 10
    • 0040788584 scopus 로고    scopus 로고
    • Nearest neighbour editing and condensing tools-synergy exploitation
    • DASARATHY, B. V., SANCHEZ, J. S. & TOWNSEND, S. (2000). Nearest neighbour editing and condensing tools-synergy exploitation. Pat. Anal. Applic. 3, 19-30.
    • (2000) Pat. Anal. Applic. , vol.3 , pp. 19-30
    • Dasarathy, B.V.1    Sanchez, J.S.2    Townsend, S.3
  • 12
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1-loss, and the curse-of-dimensionality
    • FRIEDMAN, J. H. (1997). On bias, variance, 0/1-loss, and the curse-of-dimensionality. Data Mining Know. Discov. 1, 55-77.
    • (1997) Data Mining Know. Discov. , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 13
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • GEMAN, D. & GEMAN, S. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE. Trans. Pat. Anal. Mach. Intel. 6, 721-41.
    • (1984) IEEE. Trans. Pat. Anal. Mach. Intel. , vol.6 , pp. 721-741
    • Geman, D.1    Geman, S.2
  • 14
    • 0141879236 scopus 로고    scopus 로고
    • Model selection and the principle of minimum description length
    • HANSEN, M. H. & Yu, B. (2001). Model selection and the principle of minimum description length. J. Am. Statist. Assoc. 96, 746-74.
    • (2001) J. Am. Statist. Assoc. , vol.96 , pp. 746-774
    • Hansen, M.H.1    Yu, B.2
  • 16
    • 0036013001 scopus 로고    scopus 로고
    • A probabilistic nearest-neighbour method for statistical pattern recognition
    • HOLMES, C. C. & ADAMS, N. M. (2002). A probabilistic nearest-neighbour method for statistical pattern recognition. J. R. Statist. Soc. B 64, 295-306.
    • (2002) J. R. Statist. Soc. B , vol.64 , pp. 295-306
    • Holmes, C.C.1    Adams, N.M.2
  • 18
    • 3843079359 scopus 로고
    • On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes
    • JENSEN, J. L. & KUNSCH, H. R. (1994). On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes. Ann. Appl. Prob. 46, 445-61.
    • (1994) Ann. Appl. Prob. , vol.46 , pp. 445-461
    • Jensen, J.L.1    Kunsch, H.R.2
  • 20
    • 21844496539 scopus 로고
    • Consistency of the maximum pseudo-likelihood estimator of the continuous state-space Gibbsian processes
    • MASE, S. (1995). Consistency of the maximum pseudo-likelihood estimator of the continuous state-space Gibbsian processes. Ann. Appl. Prob. 5, 603-12.
    • (1995) Ann. Appl. Prob. , vol.5 , pp. 603-612
    • Mase, S.1
  • 27
    • 0000350475 scopus 로고
    • Logistic regression diagnostics
    • PREGIBON, D. (1981). Logistic regression diagnostics. Ann. Statist. 9, 705-24.
    • (1981) Ann. Statist. , vol.9 , pp. 705-724
    • Pregibon, D.1
  • 29
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • RIPLEY, B. D. (1994). Neural networks and related methods for classification (with Discussion). J. R. Statist. Soc. B 56, 409-56.
    • (1994) J. R. Statist. Soc. B , vol.56 , pp. 409-456
    • Ripley, B.D.1
  • 31
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • SCHWARZ, G. (1978). Estimating the dimension of a model. Ann. Statist. 6, 461-4.
    • (1978) Ann. Statist. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 32
    • 0017471706 scopus 로고
    • Clustering on coloured lattices
    • STRAUSS, D. J. (1977). Clustering on coloured lattices. J. Appl. Prob. 14, 135-43.
    • (1977) J. Appl. Prob. , vol.14 , pp. 135-143
    • Strauss, D.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.