1. 2018
  2. 2017
  3. Adaptive nonparametric drift estimation for diffusion processes using Faber–Schauder expansions

    van der Meulen, F., Schauer, M. & van Waaij, J., 2017, In : Statistical Inference for Stochastic Processes. p. 1-26 26 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals

    van der Meulen, F. & Schauer, M., 2017, In : Electronic Journal of Statistics. 11, 1, p. 2358-2396 39 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Bayesian estimation of incompletely observed diffusions

    van der Meulen, F. & Schauer, M., 2017, In : Stochastics: an international journal of probablitiy and stochastic processes. 90, 5, p. 641-662 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Guided proposals for simulating multi-dimensional diffusion bridges

    Schauer, M., Van Der Meulen, F. & Van Zanten, H., 2017, In : Bernoulli: a journal of mathematical statistics and probability. 23, 4A, p. 2917-2950 34 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 2016
  8. A non-parametric Bayesian approach to decompounding from high frequency data

    Gugushvili, S., van der Meulen, F. & Spreij, P., 2016, In : Statistical Inference for Stochastic Processes. p. 1-27 27 p.

    Research output: Contribution to journalArticleScientific

  9. Estimating the age of Risso’s dolphins (Grampus griseus) based on skin appearance

    Hartman, K. L., Wittich, A., Cai, J., van der Meulen, F. & Azavedo, J. M. N., 2016, In : Journal of Mammalogy. 97, 2, p. 490-502 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 2015
  11. Nonparametric Bayesian inference for multidimensional compound Poisson processes

    Gugushvili, S., van Meulen, FH. & Spreij, P., 2015, In : Modern Stochastics: Theory and Applications. 2, 1, p. 1-15 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. 2014
  13. Reversible jump MCMC for nonparametric drift estimation for diffusion processes

    van der Meulen, FH., Schauer, MR. & van Zanten, H., 2014, In : Computational Statistics & Data Analysis. 71, p. 615-632 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 2013
  15. Consistent nonparametric Bayesian inference for discretely observed scalar diffusions

    van der Meulen, FH. & van Zanten, H., 2013, In : Bernoulli: a journal of mathematical statistics and probability. 19, 1, p. 44-63 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

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