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Changepoints and Time Series

  1. 2024
  2. Published

    A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning

    Romano, G., Eckley, I. & Fearnhead, P., 31/01/2024, In: IEEE Transactions on Signal Processing. 72, p. 594 - 606 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 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/MagazineJournal articlepeer-review

  4. E-pub ahead of print

    Automatic Change-Point Detection in Time Series via Deep Learning

    Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 11/01/2024, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. 2023
  6. 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/MagazineJournal articlepeer-review

  7. Published

    Inference on extended-spectrum beta-lactamase Escherichia coli and Klebsiella pneumoniae data through SMC2

    Rimella, L., Alderton, S., Sammarro, M., Rowlingson, B., Cocker, D., Feasey, N., Fearnhead, P. & Jewell, C., 30/11/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 5, p. 1435–1451

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Forthcoming

    PDMP Monte Carlo methods for piecewise-smooth densities

    Chevallier, A., Power, S., Wang, A. Q. & Fearnhead, P., 9/11/2023, (Accepted/In press) In: Advances in Applied Probability.

    Research output: Contribution to Journal/MagazineJournal article

  9. Published

    Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry

    Pishchagina, L., Romano, G., Fearnhead, P., Runge, V. & Rigaill, G., 2/11/2023, Arxiv.

    Research output: Working paperPreprint

  10. Published

    Semiparametric detection of changepoints in location, scale, and copula

    Agarwal, G., Eckley, I. A. & Fearnhead, P., 31/10/2023, In: Statistical Analysis and Data Mining: The ASA Data Science Journal. 16, 5, p. 456-473 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Forthcoming

    cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 6/10/2023, (Accepted/In press) In: Journal of Statistical Software.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    Concave-Convex PDMP-based sampling

    Sutton, M. & Fearnhead, P., 2/10/2023, In: Journal of Computational and Graphical Statistics. 32, 4, 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. E-pub ahead of print

    Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

    Ward, K., Dilillo, G., Eckley, I. & Fearnhead, P., 6/09/2023, (E-pub ahead of print) In: Journal of the American Statistical Association. 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. E-pub ahead of print

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/08/2023, (E-pub ahead of print) In: Journal of Glaciology. 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  15. Published

    Reversible Jump PDMP Samplers for Variable Selection

    Chevallier, A., Fearnhead, P. & Sutton, M., 31/07/2023, In: Journal of the American Statistical Association. 118, 544, p. 2915-2927

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Forthcoming

    High-dimensional time series segmentation via factor-adjusted vector autoregressive modelling

    Cho, H., Maeng, H., Eckley, I. A. & Fearnhead, P., 14/07/2023, (Accepted/In press) In: Journal of the American Statistical Association. p. 1-13 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  17. Published

    Identifying irregular activity sequences: an application to passive household monitoring

    Gillam, J., Killick, R., Taylor, S., Heal, J. & Norwood, B., 30/06/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 3, p. 519-543 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. E-pub ahead of print

    Multi-step Estimators and Shrinkage Effect in Time Series Models

    Svetunkov, I., Kourentzes, N. & Killick, R., 24/06/2023, (E-pub ahead of print) In: Computational Statistics.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. Forthcoming

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 8/06/2023, (Accepted/In press) In: Bayesian Analysis.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. Published

    M-Estimation in GARCH Models in the Absence of Higher-Order Moments

    Hallin, M., Liu, H. & Mukherjee, K., 1/06/2023, Research papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi. 1 ed. Singapore: Springer, p. 195-219 25 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  21. Published

    Collective Anomaly Detection in High-Dimensional Var Models

    Maeng, H., Eckley, I. & Fearnhead, P., 31/05/2023, In: Statistica Sinica. 33, 1603-1627, p. 1603-1627 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    Micro-Macro Changepoint Inference for Periodic Data Sequences

    Ushakova, A., Taylor, S. & Killick, R., 31/05/2023, In: Journal of Computational and Graphical Statistics. 32, 2, p. 684-695 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. Published

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 27/04/2023, In: Proceedings of Machine Learning Research. 206, p. 8837-8856 20 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  24. E-pub ahead of print

    Detecting changes in covariance via random matrix theory

    Ryan, S. & Killick, R., 10/04/2023, (E-pub ahead of print) In: Technometrics. p. 1-12 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics

    Romano, G., Eckley, I. A., Fearnhead, P. & Rigaill, G., 31/03/2023, In: Journal of Machine Learning Research. 24, p. 1-36 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. Published

    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

    Runge, V., Hocking, T. D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G., 27/03/2023, In: Journal of Statistical Software. 106, 6, p. 1–39 39 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. Published
  28. Published

    Analysing and visualising bike-sharing demand with outliers

    Rennie, N., Cleophas, C., Sykulski, A. M. & Dost, F., 6/03/2023, In: Discover Data. 1, 1, 26 p., 1.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  29. Published

    Detecting changes in mixed-sampling rate data sequences

    Lowther, A., Killick, R. & Eckley, I., 28/02/2023, In: Environmetrics. 34, 1, 15 p., e2762.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  30. Forthcoming

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 23/02/2023, (Accepted/In press) Proceedings of Machine Learning Research, (Artificial Intelligence and Statistics; vol. 206).

    Research output: Working paperPreprint

  31. Published
  32. Published

    Online non-parametric changepoint detection with application to monitoring operational performance of network devices

    Austin, E., Romano, G., Eckley, I. & Fearnhead, P., 31/01/2023, In: Computational Statistics and Data Analysis. 177, 13 p., 107551.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  33. Forthcoming

    Approximating optimal SMC proposal distributions in individual-based epidemic models

    Rimella, L., Jewell, C. & Fearnhead, P., 31/03/2024, In: Statistica Sinica. 34, Online Special Issue 1, 38 p., 6.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  34. Published
  35. 2022
  36. Published

    Autocovariance Estimation in the Presence of Changepoints

    Gallagher, C., Killick, R., Lund, R. & Shi, X., 31/12/2022, In: Journal of the Korean Statistical Society. 51, 4, p. 1021-1040 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  37. Published

    Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise

    Romano, G., Rigaill, G., Runge, V. & Fearnhead, P., 31/12/2022, In: Journal of the American Statistical Association. 117, 540, p. 2147-2162

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  38. Published

    The elliptical Ornstein–Uhlenbeck process

    Sykulski, A., Olhede, S. C. & Sykulska-Lawrence, H., 28/12/2022, In: Statistics and Its Interface. 16, 1, p. 133-146 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  39. Published

    Trend Locally Stationary Wavelet Processes

    McGonigle, E., Killick, R. & Nunes, M., 30/11/2022, In: Journal of Time Series Analysis. 43, 6, p. 895-917 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  40. E-pub ahead of print

    Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

    Laurini, F., Fearnhead, P. & Tawn, J., 1/11/2022, (E-pub ahead of print) In: Statistics and Computing. 32, 6

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  41. Published

    Modeling and forecasting of at home activity in older adults using passive sensor technology

    Gillam, J., Killick, R., Heal, J. & Norwood, B., 31/10/2022, In: Statistics in Medicine. 41, 23, p. 4629-4646 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  42. Published

    Detecting A Single Change-point

    Fearnhead, P. & Fryzlewicz, P., 13/10/2022, Arxiv.

    Research output: Working paperPreprint

  43. Forthcoming

    Identifying Changes In Activity Sequences: An Application To Passive Household Monitoring

    Gillam, J., Killick, R., Taylor, S., Heal, J. & Norwood, B., 10/10/2022, (Accepted/In press) In: Journal of the Royal Statistical Society: Series C (Applied Statistics).

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  44. Published

    Changepoint Detection: An Analysis of the Central England Temperature Series

    Shi, X., Beaulieu, C., Killick, R. & Lund, R., 1/10/2022, In: Journal of Climate. 35, 19, p. 2729-2742 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  45. Published

    Testing for a Change in Mean After Changepoint Detection

    Jewell, S., Fearnhead, P. & Witten, D., 30/09/2022, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 84, 4, p. 1082-1104 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  46. Forthcoming

    Continuously-Tempered PDMP samplers

    Sutton, M., Salomone, R., Chevallier, A. & Fearnhead, P., 14/09/2022, (Accepted/In press) In: Advances in Neural Information Processing Systems. 35, 28293--28304

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  47. Published

    A linear time method for the detection of collective and point anomalies

    Fisch, A. T. M., Eckley, I. A. & Fearnhead, P., 31/08/2022, In: Statistical Analysis and Data Mining. 15, 4, p. 494-508 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  48. Published

    Real time anomaly detection and categorisation

    Fisch, A. T. M., Bardwell, L. & Eckley, I. A., 31/08/2022, In: Statistics and Computing. 32, 4, 15 p., 55.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  49. Published

    Consistency of a range of penalised cost approaches for detecting multiple changepoints

    Zheng, C., Eckley, I. & Fearnhead, P., 30/08/2022, In: Electronic Journal of Statistics. 16, 2, p. 4497-4546 50 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  50. Published

    cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

    Grose, D. & Fearnhead, P., 23/08/2022

    Research output: Exhibits, objects and web-based outputsSoftware

  51. Published

    Graphical Influence Diagnostics for Changepoint Models

    Wilms, I., Killick, R. & Matteson, D. S., 3/07/2022, In: Journal of Computational and Graphical Statistics. 31, 3, p. 753-765 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  52. Published

    A Comparison of Single and Multiple Changepoint Techniques for Time Series Data

    Shi, X., Gallagher, C., Lund, R. & Killick, R., 30/06/2022, In: Computational Statistics and Data Analysis. 170, 19 p., 107433.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  53. Published

    Center-Outward R-Estimation for Semiparametric VARMA Models

    Hallin, M., La Vecchia, D. & Liu, H., 30/06/2022, In: Journal of the American Statistical Association. 117, 538, p. 925-938 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  54. Published

    Scalable change-point and anomaly detection in cross-correlated data with an application to condition monitoring

    Tveten, M., Eckley, I. & Fearnhead, P., 30/06/2022, In: Annals of Applied Statistics. 16, 2, p. 721-743 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  55. Published

    Subset Multivariate Collective And Point Anomaly Detection

    Fisch, A., Eckley, I. & Fearnhead, P., 30/06/2022, In: Journal of Computational and Graphical Statistics. 31, 2, p. 574-585 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  56. Published

    The evolving role of weather types on rainfall chemistry under large reductions in pollutant emissions

    Tso, C-HM., Monteith, D., Scott, T., Watson, H., Dodd, B., Pereira, M. G., Henrys, P., Hollaway, M., Rennie, S., Lowther, A., Watkins, J., Killick, R. & Blair, G., 15/04/2022, In: Environmental Pollution. 299, 11 p., 118905.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  57. Published

    Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes

    Chevallier, A., Cazals, F. & Fearnhead, P., 28/03/2022, In: Proceedings of Machine Learning Research. 151, p. 10146-10160 15 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  58. Forthcoming

    The Debiased Spatial Whittle Likelihood

    Guillaumin, A. P., Sykulski, A., Olhede, S. C. & Simons, F. J., 4/03/2022, (Accepted/In press) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  59. Published

    A multivariate pseudo-likelihood approach to estimating directional ocean wave models

    Grainger, J. P., Sykulski, A. M., Ewans, K., Hansen, H. F. & Jonathan, P., 8/02/2022, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  60. Published

    Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 7/02/2022, In: Journal of Statistical Software. 101, 10, 31 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  61. Published

    Innovative and Additive Outlier Robust Kalman Filtering with a Robust Particle Filter

    Fisch, A., Eckley, I. & Fearnhead, P., 31/01/2022, In: IEEE Transactions on Signal Processing. 70, p. 47-56 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  62. Published

    A Dataset of Hourly Sea Surface Temperature From Drifting Buoys

    Elipot, S., Sykulski, A., Lumpkin, R., Centurioni, L. & Pazos, M., 20/01/2022, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  63. Unpublished

    Identifying change in human behaviour utilising static sensors

    Gillam, J., 2022, (Unpublished) Lancaster University. 175 p.

    Research output: ThesisDoctoral Thesis

  64. Published

    Modelling and Estimation of Time Series with Long Memory

    Suibkitwanchai, K., 2022, Lancaster University. 234 p.

    Research output: ThesisDoctoral Thesis

  65. Published

    Modelling Time-Varying First and Second-Order Structure of Time Series via Wavelets and Differencing

    McGonigle, E., Killick, R. & Nunes, M., 2022, In: Electronic Journal of Statistics. 16, 2

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  66. Unpublished

    On Aspects of Changepoint Analysis Motivated by Industrial Applications

    Grundy, T., 2022, (Unpublished) Lancaster University.

    Research output: ThesisDoctoral Thesis

  67. Published

    Spectral Time Series Analysis of Ocean Wave Buoy Measurements

    Grainger, J., 2022, Lancaster University. 274 p.

    Research output: ThesisDoctoral Thesis

  68. Published

    Statistical Estimation of Flow Components and Diffusivity from Ocean Drifter Velocity Observations

    Oscroft, S., 2022, Lancaster University. 301 p.

    Research output: ThesisDoctoral Thesis

  69. Published

    Statistical Modelling and Inference for Ocean Trajectory Data

    O'Malley, M., 2022, Lancaster University. 246 p.

    Research output: ThesisDoctoral Thesis

  70. 2021
  71. Published

    Changes in microbial utilization and fate of soil carbon following the addition of different fractions of anaerobic digestate to soils

    Cattin, M., Semple, K., Stutter, M., Romano, G., Lag Brotons, A., Parry, C. & Surridge, B., 30/11/2021, In: European Journal of Soil Science. 72, 6, p. 2398-2413 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  72. Published

    crops: Changepoints for a Range of Penalties (CROPS)

    Grose, D. & Fearnhead, P., 4/11/2021

    Research output: Exhibits, objects and web-based outputsSoftware

  73. Published

    A computationally efficient, high-dimensional multiple changepoint procedure with application to global terrorism incidence

    Tickle, S. O., Eckley, I. A. & Fearnhead, P., 31/10/2021, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 184, 4, p. 1303-1325 23 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  74. Published

    Identifying and Responding to Outlier Demand in Revenue Management

    Rennie, N., Cleophas, C., Sykulski, A. & Dost, F., 16/09/2021, In: European Journal of Operational Research. 293, 3, p. 1015-1030 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  75. Published

    Infants Oscillatory Frequencies change during Free-Play for Social vs Non-social Interactions

    Smith, E., Elliott, D., Killick, R., Crawford, T., Kidby, S. & Reid, V., 31/08/2021, In: Infant Behavior and Development. 64, 14 p., 101612.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  76. Published

    Multivariate Probabilistic Regression with Natural Gradient Boosting

    O'Malley, M., Sykulski, A., Lumpkin, R. & Schuler, A., 7/06/2021, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  77. Published

    Estimating the parameters of ocean wave spectra

    Grainger, J., Sykulski, A., Jonathan, P. & Ewans, K., 1/06/2021, In: Ocean Engineering. 229, 20 p., 108934.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  78. Published

    Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach

    Hollaway, M. J., Henrys, P. A., Killick, R., Leeson, A. & Watkins, J., 31/05/2021, In: Environmental Modelling and Software. 139, 10 p., 104993.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  79. Published

    Estimating the travel time and the most likely path from Lagrangian drifters

    O'Malley, M., Sykulski, A., Laso-Jadart, R. & Madoui, M-A., 1/05/2021, In: Journal of Atmospheric and Oceanic Technology. 38, 5, p. 1059-1073 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  80. Published

    How marine currents and environment shape plankton genomic differentiation: a mosaic view from Tara Oceans metagenomic data

    Laso-Jadart, R., O'Malley, M., Sykulski, A., Ambroise, C. & Madoui, M-A., 30/04/2021, In: Biorxiv.

    Research output: Contribution to Journal/MagazineJournal article

  81. Published

    Stochastic gradient Markov chain Monte Carlo

    Nemeth, C. & Fearnhead, P., 30/03/2021, In: Journal of the American Statistical Association. 1116, 533, p. 433-450 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  82. Published

    A wavelet-based approach for imputation in nonstationary multivariate time series

    Wilson, R., Eckley, I., Nunes, M. & Park, T. A., 17/02/2021, In: Statistics and Computing. 31, 18 p., 18.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  83. Published

    Detecting changes in mean in the presence of time-varying autocovariance

    McGonigle, E., Killick, R. & Nunes, M., 15/01/2021, In: Stat. 10, 1, 14 p., e351.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  84. Published

    Automatic Generalised Seizure Detection in Clinical Electroencephalography Records

    Elliott, D., 2021, Lancaster University. 324 p.

    Research output: ThesisDoctoral Thesis

  85. Published

    Detecting demand outliers in transport systems

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

    Research output: ThesisDoctoral Thesis

  86. Published

    Robust Estimation for GARCH Models and VARMA Models

    Liu, H., 2021, Lancaster University. 209 p.

    Research output: ThesisDoctoral Thesis

  87. Unpublished
  88. 2020
  89. Published

    Separating Mesoscale and Submesoscale Flows from Clustered Drifter Trajectories

    Oscroft, S., Sykulski, A. M. & Early, J. J., 31/12/2020, In: Fluids. 6, 1, 14.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  90. Published

    An assessment of practitioners approaches to forecasting in the presence of changepoints

    Chapman, J-L. & Killick, R., 1/12/2020, In: Quality and Reliability Engineering International. 36, 8, p. 2676-2687 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  91. Published

    Quasi-stationary Monte Carlo and the ScaLE Algorithm

    Pollock, M., Fearnhead, P., Johansen, A. M. & Roberts, G. O., 1/12/2020, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 82, 5, p. 1167-1221 55 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  92. Published

    Relating and Comparing Methods for Detecting Changes in Mean

    Fearnhead, P. & Rigaill, G., 1/12/2020, In: Stat. 9, 1, 11 p., e291.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  93. Published

    BayesProject: Fast computation of a projection direction for multivariate changepoint detection

    Hahn, G., Fearnhead, P. & Eckley, I., 1/11/2020, In: Statistics and Computing. 30, p. 1691–1705 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  94. Published

    Semi-automated simultaneous predictor selection for regression-SARIMA models

    Lowther, A., Fearnhead, P., Nunes, M. & Jensen, K., 1/11/2020, In: Statistics and Computing. 30, p. 1759–1778 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  95. Published

    Localizing Failure Root Causes in a Microservice through Causality Inference

    Meng, Y., Zhang, S., Sun, Y., Zhang, R., Hu, Z., Zhang, Y., Jia, C., Wang, Z. & Pei, D., 6/10/2020, 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS). IEEE, p. 1-10 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  96. Published

    Nonparametric Time Series Summary Statistics for High-Frequency Accelerometry Data from Individuals with Advanced Dementia

    Suibkitwanchai, K., Sykulski, A., Perez Algorta, G., Waller, D. & Walshe, C., 25/09/2020, In: PLoS ONE. 15, 9, 23 p., e0239368.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  97. Published

    High-Dimensional Changepoint Detection via a Geometrically Inspired Mapping

    Grundy, T., Killick, R. & Mihaylov, G., 1/07/2020, In: Statistics and Computing. 30, p. 1155–1166 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  98. Published

    Optimal allocation of Monte Carlo simulations to multiple hypothesis tests

    Hahn, G., 1/05/2020, In: Statistics and Computing. 30, 3, p. 571-586 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  99. Published

    CoFlux: Robustly Correlating KPIs by Fluctuations for Service Troubleshooting

    Su, Y., Zhao, Y., Xia, W., Liu, R., Bu, J., Zhu, J., Cao, Y., Li, H., Niu, C., Zhang, Y., Wang, Z. & Pei, D., 16/04/2020, 2019 IEEE/ACM 27th International Symposium on Quality of Service (IWQoS). IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  100. Published

    Motor unit number estimation via sequential Monte Carlo

    Taylor, S., Sherlock, C., Ridall, G. & Fearnhead, P., 1/04/2020, In: Computational Statistics and Data Analysis. 144, 16 p., 106845.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  101. Published

    Parallelization of a Common Changepoint Detection Method

    Tickle, S., Eckley, I., Fearnhead, P. & Haynes, K., 1/04/2020, In: Journal of Computational and Graphical Statistics. 29, 1, p. 149-161 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  102. Published

    Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 31/03/2020, In: Journal of Machine Learning Research. 21, p. 1-40 40 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  103. Published

    Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

    Early, J. J. & Sykulski, A. M., 31/03/2020, In: Journal of Atmospheric and Oceanic Technology. 37, 3, p. 449-465 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  104. Published

    CatReg: Solution Paths for Linear and Logistic Regression Models with SCOPE Penalty

    Benjamin Stokell, Rajen Shah & Grose, D., 14/03/2020

    Research output: Exhibits, objects and web-based outputsSoftware

  105. Published

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

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

    Research output: ThesisDoctoral Thesis

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