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STOR-i Centre for Doctoral Training

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  1. 2024
  2. Published

    Tamás P. Papp, Paul Fearnhead and Chris Sherlock's contribution to the discussion of “the Discussion Meeting on Probabilistic and statistical aspects of machine learning”

    Papp, T. P., Fearnhead, P. & Sherlock, C., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 327-328 2 p.

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

  3. Forthcoming

    Detection of Emergent Anomalous Structure in Functional Data

    Austin, E., Eckley, I. A. & Bardwell, L., 28/03/2024, (Accepted/In press) In: Technometrics. 20 p.

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

  4. Published

    Design and analysis of platform trials

    Greenstreet, P., 24/03/2024, Lancaster University. 287 p.

    Research output: Thesis › Doctoral Thesis

  5. Published

    A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models

    Ward, K., Romano, G., Eckley, I. & Fearnhead, P., 19/03/2024, In: Statistics and Computing. 34, 3, 99.

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

  6. E-pub ahead of print

    Indirect estimation of the monthly transport turnover indicator in Italy

    Guardabascio, B., Moauro, F. & Mosley, L., 19/03/2024, (E-pub ahead of print) In: Empirical Economics.

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

  7. Published

    Scalable Bayesian Inference Using Stochastic Gradient Markov Chain Monte Carlo

    Putcha, S., 6/03/2024, Lancaster University. 161 p.

    Research output: Thesis › Doctoral Thesis

  8. Published

    Hasimoto frames and the Gibbs measure of the periodic nonlinear Schrödinger equation

    Blower, G., Khaleghi, A. & Kuchemann-Scales, M., 1/02/2024, In: Journal of Mathematical Physics. 65, 2, 022705.

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

  9. Published

    Joint modelling of the body and tail of bivariate data

    André, L., Wadsworth, J. & O'Hagan, A., 31/01/2024, In: Computational Statistics and Data Analysis. 189, p. 107841 1 p., 107841.

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

  10. Published

    The sparse dynamic factor model: a regularised quasi-maximum likelihood approach

    Mosley, L., Chan, T-S. & Gibberd, A., 22/01/2024, In: Statistics and Computing. 34, 68.

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

  11. Forthcoming

    Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting

    Sharrock, L., Dodd, D. & Nemeth, C., 19/01/2024, (Accepted/In press) In: Proceedings of Machine Learning Research.

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

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