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Research

Professor Peter Neal

Formerly at Lancaster University

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  1. 2020
  2. Published

    Efficient Bayesian model choice for partially observed processes: with application to an experimental transmission study of an infectious disease

    McKinley, T., Neal, P., Spencer, S., Conlan, A. & Tiley, L., 1/08/2020, In: Bayesian Analysis. 15, 3, p. 839-870 32 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. 2019
  4. Published

    The basic reproduction number, R_0, in structured populations

    Neal, P. & Theparod, T., 1/09/2019, In: Mathematical Biosciences. 315, 12 p., 108224.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Approximate Bayesian Computation Methods for Epidemic Models

    Neal, P., 19/08/2019, Handbook of Infectious Disease Data Analysis. Held, L. (ed.). CRC PRESS-TAYLOR & FRANCIS GROUP

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  6. 2018
  7. Published

    Dynamic stochastic block models: Parameter estimation and detection of changes in community structure

    Ludkin, M., Neal, P. J. & Eckley, I. A., 11/2018, In: Statistics and Computing. 28, 6, p. 1201-1213 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Model selection for time series of count data

    Alzahrani, N., Neal, P. J., Spencer, S., McKinley, T. & Touloupou, P., 06/2018, In: Computational Statistics and Data Analysis. 122, p. 33-44 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Efficient model comparison techniques for models requiring large scale data augmentation

    Touloupou, P., Alzahrani, N., Neal, P. J., Spencer, S. & McKinley, T., 03/2018, In: Bayesian Analysis. 13, 2, p. 437-459 23 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    Optimal scaling of the independence sampler: theory and practice

    Lee, C. & Neal, P. J., 2/02/2018, In: Bernoulli. 24, 3, p. 1636-1652 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  11. 2017
  12. Published

    A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation

    Kypraios, T., Neal, P. J. & Prangle, D., 05/2017, In: Mathematical Biosciences. 287, p. 42-53 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  13. Published

    The asymptotic variance of the giant component of configuration model random graphs

    Ball, F. & Neal, P. J., 1/04/2017, In: Annals of Applied Probability. 27, 2, p. 1057-1092 37 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. Published

    Collapsing of non-centered parameterised MCMC algorithms with applications to epidemic models

    Neal, P. J. & Xiang, F., 03/2017, In: Scandinavian Journal of Statistics. 44, 1, p. 81-96 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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