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Volumn 69, Issue 4, 2007, Pages 701-713

Continuous time modelling of dynamical spatial lattice data observed at sparsely distributed times

Author keywords

Bark beetle; Bayesian inference; Forest entomology; Markov chain Monte Carlo methods; Missing data; Multivariate point process; Prediction; Spatial temporal process

Indexed keywords


EID: 34547828070     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2007.00608.x     Document Type: Article
Times cited : (6)

References (14)
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    • (2003) Highly Structured Stochastic Systems , pp. 289-295
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  • 5
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    • Spatial analysis of forest gaps resulting from bark beetle colonization of red pines experiencing belowground herbivory and infection
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  • 7
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  • 8
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  • 12
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    • Weak convergence and optimal scaling of random walk Metropolis algorithms
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    • Spatial-temporal modeling of forest gaps generated by colonization from below- and above-ground beetle species
    • to be published.
    • Zhu, J., Rasmussen, J. G., Møller, J., Aukema, B. H. Raffa, K. (2007) Spatial-temporal modeling of forest gaps generated by colonization from below- and above-ground beetle species. J. Am. Statist. Ass., to be published.
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    • Zhu, J.1    Rasmussen, J.G.2    Møller, J.3    Aukema, B.H.4    Raffa, K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.