Results for Parameter estimation

Publications & Outputs

1. Online parameter estimation for the McKean–Vlasov stochastic differential equation

   Sharrock, L., Kantas, N., Parpas, P. & Pavliotis, G. A., 31/08/2023, In: Stochastic Processes and their Applications. 162, p. 481-546 66 p.

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

2. Shrinkage Estimator for Exponential Smoothing Models

   Pritularga, K., Svetunkov, I. & Kourentzes, N., 31/07/2023, In: International Journal of Forecasting. 39, 3, p. 1351-1365 15 p.

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

3. Analysis of proton bunch parameters in the AWAKE experiment

   AWAKE Collaboration, 24/11/2021, In: Journal of Instrumentation. 16, 11, 23 p., P11031.

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

4. 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/Magazine › Journal article › peer-review

5. Uncertainties in return values from extreme value analysis of peaks over threshold using the generalised Pareto distribution

   Jonathan, P., Randell, D., Wadsworth, J. & Tawn, J., 15/01/2021, In: Ocean Engineering. 220, 17 p., 107725.

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

6. Identification of continuous-time models with slowly time-varying parameters

   Padilla, A., Garnier, H., Young, P. C., Chen, F. & Yuz, J. I., 1/12/2019, In: Control Engineering Practice. 93, 12 p., 104165.

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

7. Investigation on Estimator of Chirp Rate and Initial Frequency of LFM Signals Based on Modified Discrete Chirp Fourier Transform

   Song, J., Xu, Y., Liu, Y. & Zhang, Y., 1/12/2019, In: Circuits, Systems, and Signal Processing. 38, 12, p. 5861-5882 22 p.

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

8. On the estimation of total factor productivity: A novel Bayesian non-parametric approach

   Tsionas, M. G. & Polemis, M. L., 19/09/2019, In: European Journal of Operational Research. 277, 3, p. 886-902 17 p.

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

9. The debiased Whittle likelihood

   Sykulski, A. M., Olhede, S. C., Guillaumin, A. P., Lilly, J. M. & Early, J. J., 1/06/2019, In: Biometrika. 106, 2, p. 251-266 16 p.

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

10. Dynamic modeling and parameter estimation of a hydraulic robot manipulator using a multi-objective genetic algorithm

    Montazeri, A., West, C., Monk, S. D. & Taylor, C. J., 21/09/2016, In: International Journal of Control. 90, 4, p. 661-683 23 p.

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

11. A genetic algorithm approach for parameter optimization of a 7DOF robotic manipulator

    West, C., Montazeri, A., Monk, S. D. & Taylor, C. J., 28/06/2016.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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