1. Article › Scientific › Not peer-reviewed
  2. 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

  3. Article › Scientific › Peer-reviewed
  4. 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

  5. Asymptotic behavior of the variance of the EWMA statistic for autoregressive processes

    Vermaat, MB., van der Meulen, FH. & Does, RJMM., 2008, In : Statistics & Probability Letters. 78, 12, p. 1673-1682 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. 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

  7. 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

  8. 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

  9. Case Study: An Application of Logistic Regression in a Six Sigma Project in Health Care

    van Meulen, FH., Vermaat, T. & Willems, P., 2011, In : Quality Engineering. 23, 2, p. 113-124 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. 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

  11. 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

  12. Estimating a concave distribution function from data corrupted with additive noise

    Jongbloed, G. & van der Meulen, FH., 2009, In : Annals of Statistics. 37, 2, p. 782-815 34 p.

    Research output: Contribution to journalArticleScientificpeer-review

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