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STOR-i Centre for Doctoral Training

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  1. Doctoral Thesis
  2. Published

    Detecting demand outliers in transport systems

    Rennie, N., 2021, Lancaster University. 272 p.

    Research output: Thesis › Doctoral Thesis

  3. Published

    Subspace Clustering and Active Learning with Constraints

    Peng, H., 9/12/2020, Lancaster University. 201 p.

    Research output: Thesis › Doctoral Thesis

  4. Published

    Multivariate response predictor selection methods: with applications to telecommunications time series data

    Lowther, A., 13/02/2020, Lancaster University. 169 p.

    Research output: Thesis › Doctoral Thesis

  5. Published

    Changepoint detection for data intensive settings

    Tickle, S., 2020, Lancaster University. 226 p.

    Research output: Thesis › Doctoral Thesis

  6. Published

    Advancements in latent space network modelling

    Turnbull, K., 2020, Lancaster University. 178 p.

    Research output: Thesis › Doctoral Thesis

  7. Published

    Conditional models for spatial extremes

    Shooter, R., 2020, Lancaster University. 259 p.

    Research output: Thesis › Doctoral Thesis

  8. Published

    Bayesian bandit models for the design of clinical trials

    Williamson, S. F., 2020, Lancaster University. 229 p.

    Research output: Thesis › Doctoral Thesis

  9. Published

    Automated data inspection in jet engines

    Hullait, H., 2020, Lancaster University. 217 p.

    Research output: Thesis › Doctoral Thesis

  10. Published

    Optimising airline maintenance scheduling decisions

    Torres Sanchez, D., 2020, Lancaster University. 263 p.

    Research output: Thesis › Doctoral Thesis

  11. Published

    Novel methods for anomaly detection

    Fisch, A., 2020, Lancaster University. 293 p.

    Research output: Thesis › Doctoral Thesis

  12. Unpublished

    Late stage combination drug development for improved portfolio-level decision-making

    Graham, E., 2020, (Unpublished) Lancaster University. 217 p.

    Research output: Thesis › Doctoral Thesis

  13. Unpublished

    Detecting changepoints in multivariate data

    Ryan, S., 2020, (Unpublished) Lancaster University.

    Research output: Thesis › Doctoral Thesis

  14. Published

    Optimisation of scheduling and routing for offshore wind farm maintenance

    Kingsman, T., 2020, Lancaster University. 234 p.

    Research output: Thesis › Doctoral Thesis

  15. Published

    Optimal search in discrete locations: extensions and new findings

    Clarkson, J., 2020, Lancaster University. 260 p.

    Research output: Thesis › Doctoral Thesis

  16. Published

    Wavelet methods for locally stationary time series

    McGonigle, E., 2020, Lancaster University. 228 p.

    Research output: Thesis › Doctoral Thesis

  17. Published

    Dynamic Decision Making under Supply Chain Competition

    Li, X., 11/01/2019, Erasmus University.

    Research output: Thesis › Doctoral Thesis

  18. Published

    Statistical methods for detecting match-fixing in tennis

    Hatfield, O., 2019, Lancaster University. 245 p.

    Research output: Thesis › Doctoral Thesis

  19. Published

    Modelling and inference for the travel times in vehicle routing problems

    Wright, C., 2019, Lancaster University. 267 p.

    Research output: Thesis › Doctoral Thesis

  20. Published

    Novel methods for distributed acoustic sensing data

    Wilson, R., 2019, Lancaster University. 201 p.

    Research output: Thesis › Doctoral Thesis

  21. Published

    Reproducing-Kernel Hilbert space regression with notes on the Wasserstein Distance

    Page, S., 2019, Lancaster University. 262 p.

    Research output: Thesis › Doctoral Thesis

  22. Published

    Classifying and exploiting structure in multivariate extremes

    Simpson, E., 2019, Lancaster University. 218 p.

    Research output: Thesis › Doctoral Thesis

  23. Published

    Sequential decision problems in online education

    Pike-Burke, C., 2019, Lancaster University. 276 p.

    Research output: Thesis › Doctoral Thesis

  24. Published

    Quantifying and reducing Input modelling error in simulation

    Morgan, L. E., 2019, Lancaster University. 161 p.

    Research output: Thesis › Doctoral Thesis

  25. Published

    Large-scale Bayesian computation using Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., 2019, Lancaster University. 221 p.

    Research output: Thesis › Doctoral Thesis

  26. Published

    Novel methods for the detection and prediction of changepoints

    Chapman, J-L., 2018, Lancaster University. 170 p.

    Research output: Thesis › Doctoral Thesis

  27. Published

    Low-Density Cluster Separators for Large, High-Dimensional, Mixed and Non-Linearly Separable Data.

    Yates, K., 2018, Lancaster: Lancaster University. 218 p.

    Research output: Thesis › Doctoral Thesis

  28. Published

    Efficient search methods for high dimensional time-series

    Bardwell, L., 2018, Lancaster University. 196 p.

    Research output: Thesis › Doctoral Thesis

  29. Published

    Statistical models for extreme weather events

    Sharkey, P., 2018, Lancaster University. 211 p.

    Research output: Thesis › Doctoral Thesis

  30. Published

    Non-stationary environmental extremes

    Zanini, E., 2018, Lancaster University. 304 p.

    Research output: Thesis › Doctoral Thesis

  31. Published

    Job Shop Scheduling with Flexible Maintenance Planning

    Struijker Boudier, I., 9/08/2017, Lancaster: Lancaster University. 304 p.

    Research output: Thesis › Doctoral Thesis

  32. Published

    Efficient analysis of data streams

    Davies, R., 2017, Lancaster University. 132 p.

    Research output: Thesis › Doctoral Thesis

  33. Published

    Inference and decision making in large weakly dependent graphical models

    Turner, L., 2017, Lancaster University. 188 p.

    Research output: Thesis › Doctoral Thesis

  34. Published

    Cross-trained workforce planning models

    Ross, E., 2017, Lancaster University. 194 p.

    Research output: Thesis › Doctoral Thesis

  35. Published

    Optimizing pharmacokinetic studies utilizing microsampling

    Barnett, H. Y., 2017, Lancaster University. 186 p.

    Research output: Thesis › Doctoral Thesis

  36. Published

    Efficient analysis of complex changepoint problems

    Maidstone, R., 11/2016, Lancaster University. 145 p.

    Research output: Thesis › Doctoral Thesis

  37. Published

    Control of multiclass queueing systems with abandonments and adversarial customers

    James, T., 15/04/2016, Lancaster University. 232 p.

    Research output: Thesis › Doctoral Thesis

  38. Published

    Changepoint detection for acoustic sensing signals

    Pickering, B., 2016, Lancaster University. 203 p.

    Research output: Thesis › Doctoral Thesis

  39. Published

    The development and application of an analytical healthcare model for understanding and improving hospital performance

    Suen, D., 2015, Lancaster University. 160 p.

    Research output: Thesis › Doctoral Thesis

  40. Published

    Parameter estimation for state space models using sequential Monte Carlo algorithms

    Nemeth, C., 2014, Lancaster University. 204 p.

    Research output: Thesis › Doctoral Thesis

  41. Published

    Wavelet Methods for Multivariate Nonstationary Time Series

    Park, T. A., 2014, Lancaster University. 156 p.

    Research output: Thesis › Doctoral Thesis

  42. Unpublished

    Novel methods for changepoint problems

    Killick, R., 2012, (Unpublished) Lancaster: Lancaster University.

    Research output: Thesis › Doctoral Thesis

  43. Master's Thesis
  44. Published

    Agile transformations and Organizational Performance: the impact of maturity, employee satisfaction and transformation approach

    van Els, VH. V. & Li, X., 2018

    Research output: Thesis › Master's Thesis

  45. Other contribution
  46. Published

    Setting robust and realistic PCS targets for WEEE to support the transition to a Circular Economy - an Industry White Paper

    Stowell, A. F., Yumashev, D., Struijker Boudier, I. & Liu, L., 21/09/2018, 34 p.

    Research output: Other contribution

  47. Journal article
  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

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