Amsterdam Institute for Social Science Research (AISSR)

Photographer: Monique Onderwater

dr. A.J. (Bert) van Es

  • Faculty of Science
    Korteweg-de Vries Instituut
  • Visiting address
    Science Park 107
    Science Park 107  Room number: F3.34
  • Postal address:
    Postbus  94248
    1090 GE  Amsterdam
    T: 0205255365
    T: 0205255217



  • Gugushvili, S., van Es, B., & Spreij, P. (2011). Deconvolution for an atomic distribution: rates of convergence. Journal of Nonparametric Statistics, 23(4), 1003-1029. DOI: 10.1080/10485252.2011.576763  [details] 
  • van Es, B. (2011). Combining kernel estimators in the uniform deconvolution problem. Statistica Neerlandica, 65(3), 275-296. DOI: 10.1111/j.1467-9574.2011.00485.x  [details] 
  • van Es, B., & Spreij, P. (2011). Estimation of a multivariate stochastic volatility density by kernel deconvolution. Journal of Multivariate Analysis, 102(3), 683-697. DOI: 10.1016/j.jmva.2010.12.003  [details] 
  • van Es, B., Spreij, P., & van Zanten, H. (2011). Nonparametric methods for volatility density estimation. In G. di Nunno, & B. Øksendal (Eds.), Advanced Mathematical Methods for Finance (pp. 293-312). (Springer for Research & Development). Berlin - Heidelberg: Springer. [details] 


  • van Es, B., & Gugushvili, S. (2010). Asymptotic normality of the deconvolution kernel density estimator under the vanishing error variance. Journal of the Korean Statistical Society, 39(1), 103-115. DOI: 10.1016/j.jkss.2009.04.007  [details] 


  • van Es, B., & Gugushvili, S. (2008). Weak convergence of the supremum distance for supersmooth kernel deconvolution. Statistics & Probability Letters, 78(17), 2932-2938. DOI: 10.1016/j.spl.2008.05.002  [details] 
  • van Es, B., Gugushvili, S., & Spreij, P. (2008). Deconvolution for an atomic distribution. Electronic Journal of Statistics, 2, 265-297. DOI: 10.1214/07-EJS121  [details] 
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