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Results for Monte Carlo methods

Publications & Outputs

  1. 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 journalJournal article

  2. 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 journalJournal article

  3. Multi-objective optimization using statistical models

    Tsionas, M. G., 1/07/2019, In : European Journal of Operational Research. 276, 1, p. 364-378 15 p.

    Research output: Contribution to journalJournal article

  4. A Bayesian semiparametric approach to stochastic frontiers and productivity

    Tsionas, M. G. & Mallick, S. K., 1/04/2019, In : European Journal of Operational Research. 274, 1, p. 391-402 12 p.

    Research output: Contribution to journalJournal article

  5. A spectrometer for ultrashort gamma-ray pulses with photon energies greater than 10 MeV

    Behm, K. T., Cole, J. M., Joglekar, A. S., Gerstmayr, E., Wood, J. C., Baird, C. D., Blackburn, T. G., Duff, M., Harvey, C., Ilderton, A., Kuschel, S., Mangles, S. P. D., Marklund, M., McKenna, P., Murphy, C. D., Najmudin, Z., Poder, K., Ridgers, C. P., Sarri, G., Samarin, G. M. & 5 others, Symes, D., Warwick, J., Zepf, M., Krushelnick, K. & Thomas, A. G. R., 11/2018, In : Review of Scientific Instruments. 89, 11, 10 p., 113303.

    Research output: Contribution to journalJournal article

  6. Theory of radiative electron polarization in strong laser fields

    Seipt, D., Del Sorbo, D., Ridgers, C. P. & Thomas, A. G. R., 20/08/2018, In : Physical review a. 98, 2, 19 p., 023417.

    Research output: Contribution to journalJournal article

  7. Efficient estimation of return value distributions from non-stationary marginal extreme value models using Bayesian inference

    Ross, E., Randell, D., Ewans, K., Feld, G. & Jonathan, P., 15/09/2017, In : Ocean Engineering. 142, p. 315-328 14 p.

    Research output: Contribution to journalJournal article

  8. A non-iterative (trivial) method for posterior inference in stochastic volatility models

    Tsionas, M. G., 1/07/2017, In : Statistics and Probability Letters. 126, p. 83-87 5 p.

    Research output: Contribution to journalJournal article

  9. Particle Learning Methods for State and Parameter Estimation

    Nemeth, C., Fearnhead, P., Mihaylova, L. & Vorley, D., 15/05/2012, Data Fusion & Target Tracking Conference (DF&TT 2012): Algorithms & Applications, 9th IET. 6 p.

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

  10. Outage probability of hybrid cellular-adhoc CDMA networks

    Banivaheb, N. & Navaie, K., 1/05/2011, 2011 19th Iranian Conference on Electrical Engineering. IEEE, p. 1-6 6 p.

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

  11. Group object structure and state estimation with evolving networks and Monte Carlo methods.

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. & Godsill, S., 1/04/2011, In : IEEE Transactions on Signal Processing. 59, 4, p. 1383-1396 14 p.

    Research output: Contribution to journalJournal article

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