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Research

Results for Markov chain Monte Carlo (MCMC)

Publications & Outputs

  1. Statistical Methods for Samples of Interaction Networks

    Bolt, G., 12/2023, Lancaster University. 255 p.

    Research output: Thesis › Doctoral Thesis

  2. Bayesian inference and prediction for the inhomogeneous Poisson process, and a robust competitor to Hamiltonian Monte Carlo

    Urbas, S., 2022, Lancaster University. 263 p.

    Research output: Thesis › Doctoral Thesis

  3. Bayesian additive regression trees with model trees

    Batista Do Prado, E., Parnell, A. C. & de Andrade Moral, R., 3/03/2021, In: Statistics and Computing. 31, 3, p. 1-13 13 p., 20.

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

  4. Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering

    Mihaylova, L. & Carmi, A., 2012, In: Monte Carlo Methods and Applications.

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

  5. Combinatorial identifites associated with CFTP.

    Roberts, G. O. & Rosenthal, J. S., 2004, In: Far East Journal of Mathematical Sciences. 13, 3, p. 391-404 14 p.

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