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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

  12. Forthcoming

    Forecasting seasonal demand for retail: A Fourier time-varying grey model

    Ye, L., Xie, N., Boylan, J. E. & Shang, Z., 18/01/2024, (Accepted/In press) In: International Journal of Forecasting.

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

  13. Published

    Input Uncertainty and Data Collection Problems in Stochastic Simulation

    Parmar, D., 2024, Lancaster University. 167 p.

    Research output: Thesis › Doctoral Thesis

  14. 2023
  15. Forthcoming

    anomaly: Detection of Anomalous Structure in Time Series Data

    Fisch, A., Grose, D., Eckley, I. A., Fearnhead, P. & Bardwell, L., 21/12/2023, (Accepted/In press) In: Journal of Statistical Software.

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

  16. Published

    A stochastic game framework for patrolling a border

    Darlington, M., Glazebrook, K., Shone, R., Leslie, D. & Szechtman, R., 16/12/2023, In: European Journal of Operational Research. 311, 3, p. 1146-1158 13 p.

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

  17. E-pub ahead of print

    Staying Positive: Challenges and Solutions in Using Pure Multiplicative ETS Models

    Svetunkov, I. & Boylan, J. E., 15/12/2023, (E-pub ahead of print) In: IMA Journal of Management Mathematics.

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

  18. E-pub ahead of print

    A time-expanded network design model for staff allocation in mail centres

    Thorburn, H., Sachs, A-L., Fairbrother, J. & Boylan, J., 5/12/2023, (E-pub ahead of print) In: Journal of the Operational Research Society.

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

  19. E-pub ahead of print

    Temporal evolution of the extreme excursions of multivariate k $$ k $$ th order Markov processes with application to oceanographic data

    Tendijck, S., Tawn, J., Randell, D. & Jonathan, P., 3/12/2023, (E-pub ahead of print) In: Environmetrics.

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

  20. Published

    Using biomarkers to allocate patients in a response-adaptive clinical trial

    Jackson, H., Bowen, S. & Jaki, T., 2/12/2023, In: Communications in Statistics: Simulation and Computation. 52, 12, p. 5946-5965 20 p.

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

  21. Published

    Statistical Methods for Samples of Interaction Networks

    Bolt, G., 12/2023, Lancaster University. 255 p.

    Research output: Thesis › Doctoral Thesis

  22. Published

    iETS: State space model for intermittent demand forecasting

    Svetunkov, I. & Boylan, J. E., 30/11/2023, In: International Journal of Production Economics. 265, 109013.

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

  23. Published

    Searching for long faint astronomical high energy transients: a data driven approach

    Crupi, R., Dilillo, G., Bissaldi, E., Ward, K., Fiore, F. & Vacchi, A., 22/11/2023, In: Experimental Astronomy. 56, p. 421-476 56 p.

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

  24. E-pub ahead of print

    Latent Space Modelling of Hypergraph Data

    Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 23/10/2023, (E-pub ahead of print) In: Journal of the American Statistical Association.

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

  25. Published

    Modeling Intransitivity in Pairwise Comparisons with Application to Baseball Data

    Spearing, H., Tawn, J., Irons, D. & Paulden, T., 2/10/2023, In: Journal of Computational and Graphical Statistics. 32, 4, p. 1383-1392 10 p.

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

  26. Published

    Latent multinomial models for extended batch‐mark data

    Zhang, W., Bonner, S. J. & McCrea, R., 30/09/2023, In: Biometrics. 79, 3, p. 2732-2742 11 p.

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

  27. Published

    Identifying prodromal symptoms at high specificity for Parkinson’s disease

    Jackson, H., Anzures-Cabrera, J., Simuni, T., Postuma, R. B., Marek, K. & Pagano, G., 22/09/2023, In: Frontiers in Aging Neuroscience. 15, 1232387.

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

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