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Professor Christopher Nemeth

Professor in Statistics, Research Student

  1. 2012
  2. Published

    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/Paperpeer-review

  3. Published

    Bearings-Only Tracking with Particle Filtering for Joint Parameter Learning and State Estimation

    Nemeth, C., Fearnhead, P., Mihaylova, L. & Vorley, D., 7/07/2012, Information Fusion (FUSION), 2012 15th International Conference on. IEEE, p. 824-831 8 p.

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

  4. 2014
  5. Published

    Parameter estimation for state space models using sequential Monte Carlo algorithms

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

    Research output: ThesisDoctoral Thesis

  6. Unpublished

    Particle Metropolis adjusted Langevin algorithms for state space models

    Nemeth, C. & Fearnhead, P., 4/02/2014, (Unpublished) In: arxiv.org.

    Research output: Contribution to Journal/MagazineJournal article

  7. Published

    Sequential Monte Carlo methods for state and parameter estimation in abruptly changing environments

    Nemeth, C., Fearnhead, P. & Mihaylova, L., 1/03/2014, In: IEEE Transactions on Signal Processing. 62, 5, p. 1245-1255 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. 2016
  9. Published

    Particle Metropolis-adjusted Langevin algorithms

    Nemeth, C., Sherlock, C. & Fearnhead, P., 09/2016, In: Biometrika. 103, 3, p. 701-717 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost

    Nemeth, C., Fearnhead, P. & Mihaylova, L. S., 11/2016, In: Journal of Computational and Graphical Statistics. 25, 4, p. 1138-1157 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 2018
  12. Published

    Merging MCMC subposteriors through Gaussian-Process Approximations

    Nemeth, C. & Sherlock, C. G., 03/2018, In: Bayesian Analysis. 13, 2, p. 507-530 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. Published

    Large-Scale Stochastic Sampling from the Probability Simplex

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 3/12/2018, p. 6722-6732 . 11 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  14. 2019
  15. Published

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 29/01/2019, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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