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Dr Jennifer Wadsworth

Reader in Statistics

  1. Published

    A new representation for multivariate tail probabilities

    Wadsworth, J. & Tawn, J., 2013, In: Bernoulli. 19, 5B, p. 2689-2714 26 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

    Wadsworth, J. & Tawn, J., 03/2014, In: Biometrika. 101, 1, p. 1-15 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Exploiting structure of maximum likelihood estimators for extreme value threshold selection

    Wadsworth, J., 03/2016, In: Technometrics. 58, 1, p. 116-126 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    On the occurrence times of componentwise maxima and bias in likelihood inference for multivariate max-stable distributions

    Wadsworth, J., 09/2015, In: Biometrika. 102, 3, p. 705-711 7 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Modelling across extremal dependence classes

    Wadsworth, J., Tawn, J. A., Davison, A. & Elton, D. M., 01/2017, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 79, 1, p. 149-175 27 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. E-pub ahead of print

    Higher-dimensional spatial extremes via single-site conditioning

    Wadsworth, J. & Tawn, J., 30/06/2022, (E-pub ahead of print) In: Spatial Statistics. 51, 31 p., 100677.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Forthcoming

    Statistical inference for multivariate extremes via a geometric approach

    Wadsworth, J. & Campbell, R., 26/02/2024, (Accepted/In press) In: Journal of the Royal Statistical Society. Series B: Statistical Methodology.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets with Many Locations

    Zhang, L., Shaby, B. & Wadsworth, J., 3/07/2022, In: Journal of the American Statistical Association. 117, 539, p. 1357-1369 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Modeling spatial extremes using normal mean-variance mixtures

    Zhang, Z., Huser, R., Opitz, T. & Wadsworth, J., 30/06/2022, In: Extremes. 25, 2, p. 175-197 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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