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Results: 39
Number of items: 39
  • Open Access
    Hartog, J. (2019). Nonparametric Bayesian label prediction on a graph. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bisewski, K. L. (2019). Rare event simulation and time discretization. [Thesis, fully internal, Universiteit van Amsterdam].
  • Hartog, J., & van Zanten, H. (2018). Nonparametric Bayesian label prediction on a graph. Computational Statistics and Data Analysis, 120, 111-131. https://doi.org/10.1016/j.csda.2017.11.008
  • Open Access
    van Waaij, J. (2018). Adaptive posterior contraction rates for diffusions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kirichenko, A., & van Zanten, H. (2018). Minimax lower bounds for function estimation on graphs. Electronic Journal of Statistics, 12(1), 651-666. https://doi.org/10.1214/18-EJS1407
  • van Waaij, J., & van Zanten, H. (2017). Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling. Statistics and Probability Letters, 123, 93-99. https://doi.org/10.1016/j.spl.2016.12.009
  • Open Access
    Kirichenko, A., & van Zanten, H. (2017). Estimating a smooth function on a large graph by Bayesian Laplacian regularisation. Electronic Journal of Statistics, 11(1), 891-915. https://doi.org/10.1214/17-EJS1253
  • Open Access
    Schauer, M., van der Meulen, F., & van Zanten, J. H. (2017). Guided proposals for simulating multi-dimensional diffusion bridges. Bernoulli, 23(4A), 2917-2950. https://doi.org/10.3150/16-BEJ833
  • Open Access
    Kirichenko, A. (2017). Asymptotic results in nonparametric Bayesian function estimation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Sjerps, M. J., Alberink, I., Bolck, A., Stoel, R. D., Vergeer, P., & van Zanten, J. H. (2016). Uncertainty and LR: to integrate or not to integrate, that’s the question. Law, probability and risk, 15(1), 23-29. https://doi.org/10.1093/lpr/mgv005
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