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Results: 39
Number of items: 39
  • Open Access
    van Waaij, J., & van Zanten, H. (2016). Gaussian process methods for one-dimensional diffusions: Optimal rates and adaptation. Electronic Journal of Statistics, 10(1), 628-645. https://doi.org/10.1214/16-EJS1117
  • Open Access
    Knapik, B. T., Szabó, B. T., van der Vaart, A. W., & van Zanten, J. H. (2016). Bayes procedures for adaptive inference in inverse problems for the white noise model. Probability Theory and Related Fields, 164(3), 771-813. https://doi.org/10.1007/s00440-015-0619-7
  • Ghoshal, S., Kleijn, B., van der Vaart, A., & van Zanten, H. (2015). Special issue on Bayesian nonparametrics. Journal of Statistical Planning and Inference, 166, 1. https://doi.org/10.1016/j.jspi.2015.04.008
  • Belitser, E., Serra, P., & van Zanten, H. (2015). Rate-optimal Bayesian intensity smoothing for inhomogeneous Poisson processes. Journal of Statistical Planning and Inference, 166, 24-35. https://doi.org/10.1016/j.jspi.2014.03.009
  • Szabó, B., van der Vaart, A., & van Zanten, H. (2015). Honest Bayesian confidence sets for the L2-norm. Journal of Statistical Planning and Inference, 166, 36-51. https://doi.org/10.1016/j.jspi.2014.06.005
  • Open Access
    Szabó, B., van der Vaart, A. W., & van Zanten, J. H. (2015). Frequentist coverage of adaptive nonparametric Bayesian credible sets. The Annals of Statistics, 43(4), 1391-1428. https://doi.org/10.1214/14-AOS1270
  • Open Access
    Szabó, B., van der Vaart, A. W., & van Zanten, J. H. (2015). Rejoinder to discussions of "Frequentist coverage of adaptive nonparametric Bayesian credible sets". The Annals of Statistics, 43(4), 1463-1470. https://doi.org/10.1214/15-AOS1270REJ
  • Open Access
    Kirichenko, A., & van Zanten, H. (2015). Optimality of Poisson Processes Intensity Learning with Gaussian Processes. Journal of Machine Learning Research, 16, 2909-2919. http://jmlr.org/papers/v16/kirichenko15a.html
  • Open Access
    van Zanten, H. (2014). Statistiek in complexe tijden. (Oratiereeks; No. 483). Universiteit van Amsterdam.
  • van der Meulen, F., Schauer, M., & van Zanten, H. (2014). Reversible jump MCMC for nonparametric drift estimation for diffusion processes. Computational Statistics and Data Analysis, 71, 615-632. https://doi.org/10.1016/j.csda.2013.03.002
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