메뉴 건너뛰기




Volumn 16, Issue 4, 2006, Pages 391-402

Bayesian estimation for percolation models of disease spread in plant populations

Author keywords

Bayesian inference; Fungal pathogens; Markov chain Monte Carlo; Spatio temporal modeling; Stochastic modelling

Indexed keywords


EID: 33750044838     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-006-0019-z     Document Type: Article
Times cited : (40)

References (24)
  • 1
    • 18444406413 scopus 로고    scopus 로고
    • Bayesian point null hypothesis testing via the posterior likelihood ratio
    • Aitkin M., Boys R.J., and Chadwick T. 2005. Bayesian point null hypothesis testing via the posterior likelihood ratio. Statistics and Computing 15: 217-230.
    • (2005) Statistics and Computing , vol.15 , pp. 217-230
    • Aitkin, M.1    Boys, R.J.2    Chadwick, T.3
  • 2
    • 0033949732 scopus 로고    scopus 로고
    • Percolation, heterogeneity and the saprotrophic invasion of soil by the fungal plant pathogen Rhizoctonia solani
    • Bailey D.J., Otten W., and Gilligan C.A. 2000. Percolation, heterogeneity and the saprotrophic invasion of soil by the fungal plant pathogen Rhizoctonia solani. New Phytol. 146: 535-544.
    • (2000) New Phytol. , vol.146 , pp. 535-544
    • Bailey, D.J.1    Otten, W.2    Gilligan, C.A.3
  • 4
    • 0000791029 scopus 로고
    • Limit theorems for the spread of epidemics and forest fires
    • Cox J.T. and Durrett R. 1988. Limit theorems for the spread of epidemics and forest fires. Stoch. Proc. Appl. 30: 171-191.
    • (1988) Stoch. Proc. Appl. , vol.30 , pp. 171-191
    • Cox, J.T.1    Durrett, R.2
  • 6
    • 0002276308 scopus 로고
    • Assessment and propagation of model uncertainty
    • Draper D. 1995. Assessment and propagation of model uncertainty (with discussion). J. Roy. Stat. Soc. B 57: 45-97.
    • (1995) J. Roy. Stat. Soc. B , vol.57 , pp. 45-97
    • Draper, D.1
  • 8
    • 0032578985 scopus 로고    scopus 로고
    • Studying and approximating spatiotemporal models for epidemic spread and control
    • Filipe J.A.N. and Gibson G.J. 1998. Studying and approximating spatiotemporal models for epidemic spread and control. Phil. Trans. Roy. Soc. Lond. B 353: 2153-2162.
    • (1998) Phil. Trans. Roy. Soc. Lond. B , vol.353 , pp. 2153-2162
    • Filipe, J.A.N.1    Gibson, G.J.2
  • 9
    • 0034895527 scopus 로고    scopus 로고
    • Comparing approximations to spatio-temporal models for epidemics with local spread
    • Filipe J.A.N. and Gibson G.J. 2001. Comparing approximations to spatio-temporal models for epidemics with local spread. B. Math. Biol. 63: 603-624.
    • (2001) B. Math. Biol. , vol.63 , pp. 603-624
    • Filipe, J.A.N.1    Gibson, G.J.2
  • 10
    • 0039377949 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo methods for fitting and testing spatio-temporal stochastic models in plant epidemiology
    • Gibson G.J. 1997a. Markov Chain Monte Carlo methods for fitting and testing spatio-temporal stochastic models in plant epidemiology. Applied Statistics 46: 215-233.
    • (1997) Applied Statistics , vol.46 , pp. 215-233
    • Gibson, G.J.1
  • 11
    • 0001125471 scopus 로고    scopus 로고
    • Investigating mechanisms of spatio-temporal epidemic spread using stochastic models
    • Gibson G.J. 1997b. Investigating mechanisms of spatio-temporal epidemic spread using stochastic models. Phytopathology 87: 138-146.
    • (1997) Phytopathology , vol.87 , pp. 138-146
    • Gibson, G.J.1
  • 12
    • 0031780720 scopus 로고    scopus 로고
    • Estimating parameters in stochastic compartmental models using Markov chain Monte Carlo methods
    • Gibson G.J. and Renshaw E. 1998. Estimating parameters in stochastic compartmental models using Markov chain Monte Carlo methods. IMA J. Math. Appl. Med. and Biol. 15: 19-40.
    • (1998) IMA J. Math. Appl. Med. and Biol. , vol.15 , pp. 19-40
    • Gibson, G.J.1    Renshaw, E.2
  • 13
    • 0033533582 scopus 로고    scopus 로고
    • Predicting variability in biological control of a plant-pathogen system using stochastic models
    • Gibson G.J., Gilligan C.A., and Kleczkowski A. 1999. Predicting variability in biological control of a plant-pathogen system using stochastic models. Proc. R. Soc. Lond. B 266: 1746-1753.
    • (1999) Proc. R. Soc. Lond. B , vol.266 , pp. 1746-1753
    • Gibson, G.J.1    Gilligan, C.A.2    Kleczkowski, A.3
  • 14
    • 0022542570 scopus 로고
    • Exploratory and confirmatory plots of single-channel records
    • Glasbey C.A. and Martin, R.J. 1986. Exploratory and confirmatory plots of single-channel records. J. Neuroscience Methods 16:239-249.
    • (1986) J. Neuroscience Methods , vol.16 , pp. 239-249
    • Glasbey, C.A.1    Martin, R.J.2
  • 15
    • 0033017513 scopus 로고    scopus 로고
    • Examination of the effect of aphid vector population composition on the spatial dynamics of citrus tristeza virus spread via stochastic modeling
    • Gottwald T.R., Gibson G.J., Garnsey S.M., and Irey M. 1999. Examination of the effect of aphid vector population composition on the spatial dynamics of citrus tristeza virus spread via stochastic modeling. Phytopathology 89: 603-608.
    • (1999) Phytopathology , vol.89 , pp. 603-608
    • Gottwald, T.R.1    Gibson, G.J.2    Garnsey, S.M.3    Irey, M.4
  • 16
    • 0030451413 scopus 로고    scopus 로고
    • Dynamically generated variability in plant-pathogen systems with biological control
    • Kleczkowski A., Bailey D.J., and Gilligan C.A. 1996. Dynamically generated variability in plant-pathogen systems with biological control. Proc. R. Soc. Lond. B 263: 777-783.
    • (1996) Proc. R. Soc. Lond. B , vol.263 , pp. 777-783
    • Kleczkowski, A.1    Bailey, D.J.2    Gilligan, C.A.3
  • 17
    • 0033473456 scopus 로고    scopus 로고
    • Bayesian inference for partially observed stochastic epidemics
    • O'Neill P.D. and Roberts G.O. 1999. Bayesian inference for partially observed stochastic epidemics. J. Roy. Statist. Soc. A 162: 121-129.
    • (1999) J. Roy. Statist. Soc. A , vol.162 , pp. 121-129
    • O'Neill, P.D.1    Roberts, G.O.2
  • 18
    • 0011323340 scopus 로고    scopus 로고
    • Inference for an epidemic when susceptibility varies
    • O'Neill P.D. and Becker, N.G. 2001. Inference for an epidemic when susceptibility varies. Biostatistics 2: 99-108.
    • (2001) Biostatistics , vol.2 , pp. 99-108
    • O'Neill, P.D.1    Becker, N.G.2
  • 19
    • 3042678824 scopus 로고    scopus 로고
    • Empirical evidence of spatial thresholds to control invasion of fungal parasites and saproptrophs
    • Otten W., Bailey D.J., and Gilligan C.A. 2004. Empirical evidence of spatial thresholds to control invasion of fungal parasites and saproptrophs. New Phytol. 163: 125-132.
    • (2004) New Phytol. , vol.163 , pp. 125-132
    • Otten, W.1    Bailey, D.J.2    Gilligan, C.A.3
  • 20
    • 0344079391 scopus 로고    scopus 로고
    • Quantification and analysis of transmission rates for soil-borne epidemics
    • Otten W., Filipe J.A.N., Bailey D.J., and Gilligan, C. A. 2003. Quantification and analysis of transmission rates for soil-borne epidemics. Ecology 84: 3232-3239.
    • (2003) Ecology , vol.84 , pp. 3232-3239
    • Otten, W.1    Filipe, J.A.N.2    Bailey, D.J.3    Gilligan, C.A.4
  • 21
    • 21744432237 scopus 로고    scopus 로고
    • Damping-off epidemics, contact structure, and disease transmission in mixed-species populations
    • Otten W., Filipe J.A.N., and Gilligan C.A. 2005. Damping-off epidemics, contact structure, and disease transmission in mixed-species populations. Ecology 86: 1948-1957.
    • (2005) Ecology , vol.86 , pp. 1948-1957
    • Otten, W.1    Filipe, J.A.N.2    Gilligan, C.A.3
  • 23
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • Tierney L. 1994. Markov chains for exploring posterior distributions (with discussion). Annals of Statistics 22: 1701-1762.
    • (1994) Annals of Statistics , vol.22 , pp. 1701-1762
    • Tierney, L.1
  • 24
    • 0002034289 scopus 로고    scopus 로고
    • Grid-based models as tools for ecological research
    • Diekmann, U., Law, R. and Metz, J.A.J. (Eds.) Cambridge, UK, Cambridge University Press
    • Wissel C. 2000. Grid-based models as tools for ecological research. In Diekmann, U., Law, R. and Metz, J.A.J. (Eds.) The Geometry of Spatial Interactions: Simplifying Spatial Complexity. Cambridge, UK, Cambridge University Press, pp. 94-115.
    • (2000) The Geometry of Spatial Interactions: Simplifying Spatial Complexity , pp. 94-115
    • Wissel, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.