Skip to content

Research at St Andrews

Careful prior specification avoids incautious inference for log-Gaussian Cox point processes

Research output: Contribution to journalArticle

DOI

Open Access Status

  • Embargoed (until 2/11/19)

Author(s)

Sigrunn Sørbye, Janine B. Illian, Daniel P. Simpson, David Burlsem, Håvard Rue

School/Research organisations

Abstract

Hyperprior specifications for random fields in spatial point process modelling can have a major impact on the results. In fitting log-Gaussian Cox processes to rainforest tree species, we consider a reparameterised model combining a spatially structured and an unstructured random field into a single component. This component has one hyperpa- rameter accounting for marginal variance, while an additional hyperparameter governs the fraction of the variance explained by the spatially structured effect. This facilitates inter- pretation of the hyperparameters and significance of covariates is studied for a range of hyperprior specifications. Appropriate scaling makes the analysis invariant to grid resolution.
Close

Details

Original languageEnglish
JournalJournal of the Royal Statistical Society: Series C (Applied Statistics)
VolumeEarly View
Early online date2 Nov 2018
DOIs
Publication statusE-pub ahead of print - 2 Nov 2018

    Research areas

  • Bayesian analysis, Spatial point process, Penalized complexity prior, R-INLA, Spatial modelling

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. inlabru: an R package for Bayesian spatial modelling from ecological survey data

    Bachl, F. E., Lindgren, F., Borchers, D. L. & Illian, J. B., 21 Mar 2019, In : Methods in Ecology and Evolution. Early View, 7 p.

    Research output: Contribution to journalArticle

  2. Understanding species distribution in dynamic populations: a new approach using spatio‐temporal point process models

    Soriano-Redondo, A., Jones-Todd, C. M., Bearhop, S., Hilton, G. M., Lock, L., Stanbury, A., Votier, S. C. & Illian, J. B., 4 Mar 2019, In : Ecography. Early View

    Research output: Contribution to journalArticle

  3. Non-stationary Gaussian models with physical barriers

    Bakka, H., Vanhatalo, J., Illian, J. B., Simpson, D. & Rue, H., 18 Jan 2019, In : Spatial Statistics. In press

    Research output: Contribution to journalArticle

  4. Accounting for preferential sampling in species distribution models

    Pennino, M. G., Paradinas, I., Illian, J. B., Muñoz, F., Bellido, J. M., López-Quílez, A. & Conesa, D., 1 Jan 2019, In : Ecology and Evolution. 9, 1, p. 653-663 11 p.

    Research output: Contribution to journalArticle

  5. Level set Cox processes

    Hildeman, A., Bolin, D., Wallin, J. & Illian, J. B., Dec 2018, In : Spatial Statistics. 28, p. 169-193

    Research output: Contribution to journalArticle

Related by journal

  1. A spatiotemporal multispecies model of a semicontinuous response

    Jones-Todd, C. M., Swallow, B., Illian, J. B. & Toms, M., Apr 2018, In : Journal of the Royal Statistical Society: Series C (Applied Statistics). 67, 3, p. 705-722

    Research output: Contribution to journalArticle

  2. Optimum design of experiments for statistical inference Discussion

    Atkinson, A. C., Vandebroek, M., Berger, M. P. F., Morgan, J. P., Bailey, R. A., Waite, T., Woods, D., Stone, M., Critchley, F., Ridout, M., Torsney, B., Anderson-Cook, C. M., Lu, L., Boukouvalas, A., Cornford, D., Brien, C., Ceyhan, E., Chatfield, M. J., Cox, D. R., Draper, D. & 28 othersManteinga, W. G., Porcu, E., Goos, P., Haines, L. M., Holling, H., Schwabe, R., Jones, B., Majumdar, D., Kadane, J. B., Kunert, J., Lopez-Fidalgo, J., Maruri-Aguilar, H., Mateu, J., Rodriguez-Cortes, F. J., Gonzalez, J. A., Muller, W. G., Stehlik, M., Mylona, K., Notz, W., Pronzato, L., Robinson, T. J., Smucker, B. J., de Sousa Bueno Filho, J. S., Stehlik, M., Strelec, L., Steinberg, D. M., Stillman, E. & Tsai, P-W., 2012, In : Journal of the Royal Statistical Society: Series C (Applied Statistics). 61, p. 369-401 33 p.

    Research output: Contribution to journalComment/debate

  3. Testing quantum states for purity

    Jupp, P. E., KIm, P., Koo, J-Y. & Pasienka, A., 2012, In : Journal of the Royal Statistical Society: Series C (Applied Statistics). 61, p. 753-763 11 p.

    Research output: Contribution to journalArticle

  4. Uncertainty in spatially predicted covariates: is it ignorable?

    Foster, S. D., Shimadzu, H. & Darnell, R., 2012, In : Journal of the Royal Statistical Society: Series C (Applied Statistics). 61, 4, p. 637–652

    Research output: Contribution to journalArticle

Related by journal

  1. Journal of the Royal Statistical Society: Series C (Applied Statistics) (Journal)

    Hannah Worthington (Member of editorial board)
    Jan 2016

    Activity: Publication peer-review and editorial work typesPeer review of manuscripts

  2. Journal of the Royal Statistical Society: Series C (Applied Statistics) (Journal)

    Ruth King (Member of editorial board)
    20072010

    Activity: Publication peer-review and editorial work typesEditor of research journal

  3. Journal of the Royal Statistical Society: Series C (Applied Statistics) (Journal)

    Monique Lea MacKenzie (Editor)
    2006 → …

    Activity: Publication peer-review and editorial work typesEditor of research journal

  4. Journal of the Royal Statistical Society: Series C (Applied Statistics) (Journal)

    David Louis Borchers (Editor)
    2006 → …

    Activity: Publication peer-review and editorial work typesEditor of research journal

  5. Journal of the Royal Statistical Society: Series C (Applied Statistics) (Journal)

    Ruth King (Editor)
    2003

    Activity: Publication peer-review and editorial work typesEditor of research journal

ID: 256025263