Edinburgh Research Explorer

Prof Finn Lindgren

Chair of Statistics

  1. 2019
  2. A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

    Mejia, A. F., Yue, Y. R., Bolin, D., Lindgren, F. & Lindquist, M. A., 20 Apr 2019, (Accepted/In press) In : Journal of the American Statistical Association.

    Research output: Contribution to journalArticle

  3. Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds

    Coveney, S., Corrado, C., Roney, C., Wilkinson, R., Oakley, J., Lindgren, F., Williams, S., O'neill, M. D., Niederer, S. & Clayton, R., 9 Apr 2019, In : IEEE Transactions on Biomedical Engineering.

    Research output: Contribution to journalArticle

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

    Bachl, F., Lindgren, F., Borchers, D. L. & Illian, J. B., 24 Feb 2019, In : Methods in ecology and evolution. 12 p.

    Research output: Contribution to journalArticle

  5. 2018
  6. A Case Study Competition among Methods for Analyzing Large Spatial Data

    Heaton, M. J., Datta, A., Finley, A. O., Furrer, R., Guinness, J., Guhaniyogi, R., Gerber, F., Gramacy, R. B., Hammerling, D., Katzfuss, M., Lindgren, F., Nychka, D. W., Sun, F. & Zammit-Mangion, A., 14 Dec 2018, In : Journal of Agricultural, Biological and Environmental Statistics. 28 p.

    Research output: Contribution to journalArticle

  7. Spatial modelling with R-INLA: A review

    Bakka, H., Rue, H., Fuglstad, G-A., Riebler, A., Bolin, D., Illian, J., Krainski, E., Simpson, D. & Lindgren, F., Nov 2018, In : Wiley Interdisciplinary Reviews: Computational Statistics. 10, 6, 24 p., e1443.

    Research output: Contribution to journalReview article

  8. Efficient Covariance Approximations for Large Sparse Precision Matrices

    Sidén, P., Lindgren, F., Bolin, D. & Villani, M., 2 Oct 2018, In : Journal of Computational and Graphical Statistics. 27, 4, p. 898-909

    Research output: Contribution to journalArticle

  9. Calculating probabilistic excursion sets and related quantities using excursions

    Bolin, D. & Lindgren, F., 3 Sep 2018, In : Journal of statistical software. 86, 5, 20 p., 5.

    Research output: Contribution to journalArticle

  10. Constructing Priors that Penalize the Complexity of Gaussian Random Fields

    Fuglstad, G-A., Simpson, D., Lindgren, F. & Rue, H., 9 Jul 2018, In : Journal of the American Statistical Association. 9 p.

    Research output: Contribution to journalArticle

  11. 2017
  12. Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

    Yuan, Y., Bachl, F., Lindgren, F., Borchers, D. L., Illian, J. B., Buckland, S. T., Rue, H. & Gerrodette, T., Dec 2017, In : Annals of Applied Statistics. 11, 4, p. 2270-2297 33 p.

    Research output: Contribution to journalArticle

  13. A call for new approaches to quantifying biases in observations of sea-surface temperature

    Kent, E. C., Berry, D. I., Carella, G., Kennedy, J. J., Parker, D. E., Atkinson, C. P., Rayner, N. A., Smith, T. M., Hirahara, S., Huang, B., Zhang, H-M., Kaplan, A., Fukuda, Y., Ishii, M., Jones, P. D., Lindgren, F., Merchant, C. J., Morak-Bozzo, S., Venema, V. & Yasui, S., 6 Sep 2017, In : Bulletin of the American Meteorological Society. 98, 8, p. 1601-1616 16 p.

    Research output: Contribution to journalArticle

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