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dhr. prof. dr. J.H. (Harry) van Zanten

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Korteweg-de Vries Instituut
Fotograaf: Jeroen Oerlemans

Bezoekadres
  • Science Park 107
  • Kamernummer: F3.32
Postadres
  • Postbus 94248
    1090 GE Amsterdam
  • Publicaties

    2018

    • Hartog, J., & van Zanten, H. (2018). Nonparametric Bayesian label prediction on a graph. Computational Statistics and Data Analysis, 120, 111-131. DOI: 10.1016/j.csda.2017.11.008 [details]
    • Kirichenko, A., & van Zanten, H. (2018). Minimax lower bounds for function estimation on graphs. Electronic Journal of Statistics, 12(1), 651-666. DOI: 10.1214/18-EJS1407 [details]

    2017

    • 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. DOI: 10.1214/17-EJS1253
    • 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. DOI: 10.1016/j.spl.2016.12.009 [details]
    • Schauer, M., van der Meulen, F., & van Zanten, J. H. (2017). Guided proposals for simulating multi-dimensional diffusion bridges. Bernoulli, 23(4A), 2917-2950. DOI: 10.3150/16-BEJ833

    2016

    • 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. DOI: 10.1093/lpr/mgv005 [details]
    • 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 [details]
    • 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. DOI: 10.1007/s00440-015-0619-7 [details]

    2015

    • 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. DOI: 10.1016/j.jspi.2015.04.008
    • Kirichenko, A., & van Zanten, H. (2015). Optimality of Poisson Processes Intensity Learning with Gaussian Processes. Journal of Machine Learning Research, 16, 2909-2919. [details]
    • 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. DOI: 10.1214/14-AOS1270 [details]
    • 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. DOI: 10.1214/15-AOS1270REJ [details]
    • 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 [details]
    • 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 [details]

    2014

    • 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. DOI: 10.1016/j.csda.2013.03.002 [details]
    • Roth, M., Buishand, T. A., Jongbloed, G., Klein Tank, A. M. G., & van Zanten, J. H. (2014). Projections of precipitation extremes based on a regional, non-stationary peaks-over-threshold approach: A case study for the Netherlands and north-western Germany. Weather and Climate Extremes, 4, 1-10. DOI: 10.1016/j.wace.2014.01.001 [details]

    2013

    • Szabó, B. T., van der Vaart, A. W., & van Zanten, J. H. (2013). Empirical Bayes scaling of Gaussian priors in the white noise model. Electronic Journal of Statistics, 7, 991-1018. https://doi.org/10.1214/13-EJS798 [details]
    • van Zanten, H. (2013). Nonparametric Bayesian methods for one-dimensional diffusion models. Mathematical Biosciences, 243(2), 215-222. DOI: 10.1016/j.mbs.2013.03.008 [details]
    • van der Meulen, F., & van Zanten, H. (2013). Consistent nonparametric Bayesian inference for discretely observed scalar diffusions. Bernoulli, 19(1), 44-63. DOI: 10.3150/11-BEJ385 [details]
    • Belitser, E., Serra, P., & van Zanten, H. (2013). Estimating the Period of a Cyclic Non-Homogeneous Poisson Process. Scandinavian Journal of Statistics, 40(2), 204-218. DOI: 10.1111/j.1467-9469.2012.00806.x [details]
    • Knapik, B. T., van der Vaart, A. W., & van Zanten, J. H. (2013). Bayesian Recovery of the Initial Condition for the Heat Equation. Communications in Statistics: Theory and Methods, 42(7), 1294-1313. DOI: 10.1080/03610926.2012.681417 [details]
    • Pokern, Y., Stuart, A. M., & van Zanten, J. H. (2013). Posterior consistency via precision operators for Bayesian nonparametric drift estimation in SDEs. Stochastic Processes and their Applications, 123(2), 603-628. DOI: 10.1016/j.spa.2012.08.010 [details]
    • de Jonge, R., & van Zanten, H. (2013). Semiparametric Bernstein-von Mises for the error standard deviation. Electronic Journal of Statistics, 7, 217-243. https://doi.org/10.1214/13-EJS768 [details]

    2012

    • Belitser, E., Ghosal, S., & van Zanten, H. (2012). Optimal two-stage procedures for estimating location and size of maximum of multivariate regression function. The Annals of Statistics, 40(6), 2850-2876. DOI: 10.1214/12-AOS1053 [details]
    • Roth, M., Buishand, T. A., Jongbloed, G., Klein Tank, A. M. G., & van Zanten, J. H. (2012). A regional peaks-over-threshold model in a nonstationary climate. Water Resources Research, 48, W11533. DOI: 10.1029/2012WR012214 [details]
    • de Jonge, R., & van Zanten, J. H. (2012). Adaptive estimation of multivariate functions using conditionally Gaussian tensor-product spline priors. Electronic Journal of Statistics, 6 (2012), 1984-2001. https://doi.org/10.1214/12-EJS735 [details]

    Prijs

    • van Zanten, J. H. (2016). Elected Fellow of the Institute of Mathematical Statistics.

    Tijdschriftredactie

    • van Zanten, J. H. (editor) (2016-2018). Bernoulli (Journal).
    • van Zanten, J. H. (editor) (2016-2018). Electronic Journal of Statistics (Journal).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • Amsterdam Statlab
      Consultant