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Volumn 2, Issue , 2008, Pages 234-264

Maximum pseudolikelihood estimator for exponential family models of marked gibbs point processes

Author keywords

Minimum contrast estimators; Pseudolikelihood method; Stationary marked Gibbs point processes

Indexed keywords


EID: 85015203335     PISSN: 19357524     EISSN: None     Source Type: Journal    
DOI: 10.1214/07-EJS160     Document Type: Article
Times cited : (33)

References (17)
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    • Geyer, C. (1999). Likelihood inference for spatial point processes. In O.E. Barndorff-Nielsen, W. K. M. v. L., editor, Stochastic Geometry: likelihood and Computation, pages 79-140, Bocca Raton, Florida.
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    • Geyer, C.1
  • 8
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    • Jensen, J.1    Kiinsch, H.2
  • 9
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    • Jensen, J. and ller, J. (1991). Pseudolikelihood for exponential family models of spatial point processes. Ann. Appl. Prohah., 1:445-461.
    • (1991) Ann. Appl. Prohah. , vol.1 , pp. 445-461
    • Jensen, J.1    Ller, J.2
  • 10
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    • Kallenberg, O.1
  • 11
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    • Consistency of maximum pseudo-likelihood estimator of continuous state space gibbsian process
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    • Mase, S.1
  • 12
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    • Marked gibbs processes and asymptotic normality of maximum pseudo-likelihhod estimators
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    • Mase, S.1
  • 15
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  • 16
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    • Superstable interactions in classical statistical mechanics
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.