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Dr Christopher Nemeth

Lecturer in Statistics, Research Student

  1. 2019
  2. Published

    Control variates for stochastic gradient MCMC

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 1/05/2019, In : Statistics and Computing. 29, 3, p. 599-615 17 p.

    Research output: Contribution to journalJournal article

  3. 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 journalJournal article

  4. 2018
  5. Published

    GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

    Fairbrother, J., Nemeth, C., Rischard, M. & Brea, J., 21/12/2018, In : arXiv.

    Research output: Contribution to journalJournal article

  6. 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 paper

  7. Forthcoming

    sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C. J., 23/06/2018, (Accepted/In press) In : Journal of Statistical Software.

    Research output: Contribution to journalJournal article

  8. 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 journalJournal article

  9. 2017
  10. Published

    Pseudo-extended Markov chain Monte Carlo

    Nemeth, C., Lindsten, F., Filippone, M. & Hensman, J., 17/08/2017, In : arxiv.org.

    Research output: Contribution to journalJournal article

  11. 2016
  12. 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 journalJournal article

  13. 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 journalJournal article

  14. 2014
  15. 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 journalJournal article

  16. 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 journalJournal article

  17. Published

    Parameter estimation for state space models using sequential Monte Carlo algorithms

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

    Research output: ThesisDoctoral Thesis

  18. 2012
  19. 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/Paper

  20. 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/Paper

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