1. 2020
  2. Bayesian wavelet de-noising with the caravan prior

    Gugushvili, S., van der Meulen, F., Schauer, M. & Spreij, P., 3 Jan 2020, In : ESAIM - Probability and Statistics. 23 (2019), p. 947-978 32 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 2019
  4. Decompounding discrete distributions: A nonparametric Bayesian approach

    Gugushvili, S., Mariucci, E. & van der Meulen, F., 2019, In : Scandinavian Journal of Statistics. p. 1-29 29 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Nonparametric Bayesian Volatility Estimation

    Gugushvili, S., van der Meulen, F., Schauer, M. & Spreij, P., 2019, 2017 MATRIX Annals. Wood, D., de Gier, J., Praeger, C. & Tao, T. (eds.). Cham: Springer, p. 279-302 24 p. (MATRIX Book Series book series; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  6. 2018
  7. 2017
  8. 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

  9. 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

  10. 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

  11. 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

  12. 2016
  13. 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

  14. 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

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