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Volumn 2, Issue , 2007, Pages 219-226

MDL histogram density estimation

Author keywords

[No Author keywords available]

Indexed keywords

CUT POINT; DATA CLUSTERING; DENSITY ESTIMATION; DYNAMIC PROGRAMMING ALGORITHM; HISTOGRAM DENSITY; MINIMUM DESCRIPTION LENGTH PRINCIPLE; MODEL SELECTION; MODEL SELECTION CRITERIA; MODEL SELECTION PROBLEM; NORMALIZED MAXIMUM LIKELIHOOD; OPTIMALITY; POLYNOMIAL-TIME; SIMULATION TESTS;

EID: 84862290989     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (16)
  • 1
    • 33645037126 scopus 로고    scopus 로고
    • MDL, Bayesian inference, and the geometry of the space of probability distributions
    • P. Grünwald I. Myung, & M. Pitt (Eds.), The, MIT Press
    • Balasubramanian, V. (2006). MDL, Bayesian inference, and the geometry of the space of probability distributions. In P. Grünwald, I. Myung, & M. Pitt (Eds.), Advances in minimum description length: Theory and applications (pp. 81-98). The MIT Press.
    • (2006) Advances in Minimum Description Length: Theory and Applications , pp. 81-98
    • Balasubramanian, V.1
  • 2
    • 0006103174 scopus 로고    scopus 로고
    • (April). (Prepublication no 721, Laboratoire de Probabilites et Modeles Aleatoires, CNRS-UMR 7599, Universite Paris VI & VII)
    • Birge, L., & Rozenholc, Y. (2002, April). How many bins should be put in a regular histogram. (Prepublication no 721, Laboratoire de Probabilites et Modeles Aleatoires, CNRS-UMR 7599, Universite Paris VI & VII)
    • (2002) How Many Bins Should Be Put in A Regular Histogram
    • Birge, L.1    Rozenholc, Y.2
  • 3
    • 33645034499 scopus 로고    scopus 로고
    • Minimum description length tutorial
    • P. Grünwald I. Myung, & M. Pitt (Eds.), The,MIT Press
    • Grünwald, P. (2006). Minimum description length tutorial. In P. Grünwald, I. Myung, & M. Pitt (Eds.), Advances in minimum description length: Theory and applications (pp. 23-79). The MIT Press.
    • (2006) Advances in Minimum Description Length: Theory and Applications , pp. 23-79
    • Grünwald, P.1
  • 4
    • 0000666757 scopus 로고
    • On stochastic complexity and nonparametric density estimation
    • Hall, P., & Hannan, E. (1988). On stochastic complexity and nonparametric density estimation. Biometrika, 75 (4), 705-714.
    • (1988) Biometrika , vol.75 , Issue.4 , pp. 705-714
    • Hall, P.1    Hannan, E.2
  • 5
    • 38249001366 scopus 로고
    • Hellinger distance and Akaike's information criterion for the histogram
    • Kanazawa, Y. (1993). Hellinger distance and Akaike's information criterion for the histogram. Statist. Probab. Letters(17), 293-298.
    • (1993) Statist. Probab. Letters , vol.17 , pp. 293-298
    • Kanazawa, Y.1
  • 8
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. (1978). Modeling by shortest data description. Automatica, 14, 445-471.
    • (1978) Automatica , vol.14 , pp. 445-471
    • Rissanen, J.1
  • 10
    • 0029777083 scopus 로고    scopus 로고
    • Fisher information and stochastic complexity
    • Rissanen, J. (1996). Fisher information and stochastic complexity. IEEE Transactions on Information Theory, 42 (1), 40-47.
    • (1996) IEEE Transactions on Information Theory , vol.42 , Issue.1 , pp. 40-47
    • Rissanen, J.1
  • 11
    • 0035396479 scopus 로고    scopus 로고
    • Strong optimality of the normalized ML models as universal codes and information in data
    • Rissanen, J. (2001). Strong optimality of the normalized ML models as universal codes and information in data. IEEE Transactions on Information Theory, 47 (5), 1712-1717.
    • (2001) IEEE Transactions on Information Theory , vol.47 , Issue.5 , pp. 1712-1717
    • Rissanen, J.1
  • 15
  • 16
    • 0347351335 scopus 로고
    • Data compression and histograms
    • Yu, B., & Speed, T. (1992). Data compression and histograms. Probab. Theory Relat. Fields, 92, 195-229.
    • (1992) Probab. Theory Relat. Fields , vol.92 , pp. 195-229
    • Yu, B.1    Speed, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.