Home > Research > Browse

Results for Time series

Publications & Outputs

  1. Comparing different contour methods with response-based methods for extreme ship response analysis

    Vanem, E., Guo, B., Ross, E. & Jonathan, P., 31/01/2020, In : Marine Structures. 69, 19 p., 102680.

    Research output: Contribution to journalJournal article

  2. Simultaneous Quantification of Soil Phosphorus Labile Pool and Desorption Kinetics Using DGTs and 3D-DIFS

    Menezes-Blackburn, D., Sun, J., Lehto, N. J., Zhang, H., Stutter, M., Giles, C. D., Darch, T., George, T. S., Shand, C., Lumsdon, D., Blackwell, M., Wearing, C., Cooper, P., Wendler, R., Brown, L., Al-Kasbi, M. & Haygarth, P. M., 18/06/2019, In : Environmental Science and Technology. 53, 12, p. 6718-6728 11 p.

    Research output: Contribution to journalJournal article

  3. Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series

    Wilson, R. E., Eckley, I. A., Nunes, M. A. & Park, T., 15/05/2019, In : Data Mining and Knowledge Discovery. 33, 3, p. 748-772 25 p.

    Research output: Contribution to journalJournal article

  4. Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016

    Zhang, Y., Ling, F., Foody, G. M., Ge, Y., Boyd, D. S., Li, X., Du, Y. & Atkinson, P. M., 1/04/2019, In : Remote Sensing of Environment. 224, p. 74-91 18 p.

    Research output: Contribution to journalJournal article

  5. Bayesian Dynamic Linear Models for Estimation of Phenological Events from Remote Sensing Data

    Johnson, M., Caragea, P. C., Meiring, W., Jeganathan, C. & Atkinson, P. M., 1/03/2019, In : Journal of Agricultural, Biological, and Environmental Statistics. 24, 1, p. 1-25 25 p.

    Research output: Contribution to journalJournal article

  6. A time series classification method for behaviour-based dropout prediction

    Haiyang, L., Wang, Z., Benachour, P. & Tubman, P., 10/08/2018, Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018. Chen, N-S., Chang, M., Huang, R., Kinshuk, K., Moudgalya, K., Murthy, S. & Sampson, D. G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 191-195 5 p. 8433490

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

  7. Seasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time series

    Adami, M., Bernardes, S., Arai, E., Freitas, R. M., Shimabukuro, Y. E., Espírito-Santo, F. D. B., Rudorff, B. F. T. & Anderson, L. O., 07/2018, In : International Journal of Applied Earth Observation and Geoinformation. 69, p. 148-163 16 p.

    Research output: Contribution to journalJournal article

  8. A new hybrid method for time series forecasting: AR–ANFIS

    Sarıca, B., Eğrioğlu, E. & Aşıkgil, B., 1/02/2018, In : Neural Computing and Applications. 29, 3, p. 749-760 12 p.

    Research output: Contribution to journalJournal article

  9. Distinguishing trends and shifts from memory in climate data

    Beaulieu, C. & Killick, R. C., 2018, In : Journal of Climate. 31, 23, p. 9519-9543 25 p.

    Research output: Contribution to journalJournal article

  10. Principles of Business Forecasting

    Ord, K., Fildes, R. A. & Kourentzes, N., 1/07/2017, 2nd ed. New York: Wessex Press Publishing Co.

    Research output: Book/Report/ProceedingsBook

  11. Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith

    Killick, R. C. & Norwood, B., 02/2017, In : Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 394-395 2 p.

    Research output: Contribution to journalJournal article

More results »