1. Article › Scientific › Peer-reviewed
  2. Asymptotic normality of the L1 error of the Grenander estimator

    Groeneboom, P., Hooghiemstra, G. & Lopuhaa, HP., 1999, In : Annals of Statistics. 27, 4, p. 1-32 32 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Asymptotic normality of the Lk-error of the Grenander estimator

    Kulikov, V. & Lopuhaa, HP., 2005, In : Annals of Statistics. 33, 5, p. 2228-2255 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Asymptotically optimal estimation of smooth functionals for interval censoring, case 2

    Geskus, R. & Groeneboom, P., 1999, In : Annals of Statistics. 27, 2, p. 627-674 48 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Asymptotically ump panel unit root tests - the effect of heterogeneity in the alternatives

    Becheri, IG., Drost, FC. & van den Akker, R., 2015, In : Econometric Theory. 31, 03, p. 539-559 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Asymptotics of reweighted estimators of multivariate location and scatter

    Lopuhaa, HP., 1999, In : Annals of Statistics. 27, 5, p. 1-28 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Asymtotically UMP panel unit root tests¿the effect of heterogeneity in the alternatives

    Becheri, IG., Drost, FC. & van den Akker, R., 2014, In : Econometric Theory. 1, 9, p. 1-21 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Basic principles of analysing biological and technical variation in non-destructive data

    Tijskens, LMM., Schouten, RE., Konopacki, P. & Jongbloed, G., 2015, In : Computers and Electronics in Agriculture. 111, p. 121-126 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. 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

  10. 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

  11. Bayesian inference of the multi-period optimal portfolio for an exponential utility

    Bauder, D., Bodnar, T., Parolya, N. & Schmid, W., 2020, In : Journal of Multivariate Analysis. 175, p. 1-22 22 p., 104544.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Bayesian mean–variance analysis: optimal portfolio selection under parameter uncertainty

    Bauder, D., Bodnar, T., Parolya, N. & Schmid, W., 2020, In : Quantitative Finance. 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. 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

  14. Bernstein von Mises theorems for statistical inverse problems II: Compound Poisson processes

    Nickl, R. & Söhl, J., 2019, In : Electronic Journal of Statistics. 13, 2, p. 3513–3571 59 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. 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

  16. Causal modeling using Bayesian belief nets for integrated safety at airports

    Roelen, ALC., Wever, R., Hale, AR., Goossens, LHJ., Cooke, RM., Lopuhaa, HP., Simons, M. & Valk, PJL., 2004, In : Risk, Decision and Policy. 9, 3, p. 207-222 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Central limit theorem and influence function for the MCD estimators at general multivariate distributions

    Cator, EA. & Lopuhaa, HP., 2012, In : Bernoulli: a journal of mathematical statistics and probability. 18, 2, p. 520-551 32 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions

    Bodnar, T., Mazur, S. & Parolya, N., 1 Jun 2019, In : Scandinavian Journal of Statistics. 46, 2, p. 636-660 25 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. Central limit theorems for the Lp-error of smooth isotonic estimators

    Lopuhaa, H. P. & Musta, E., 2019, In : Electronic Journal of Statistics. 13, 1, p. 1031-1098 68 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Characterisation and quantification of microstructural banding in dual phase steels Part 1 - General 2D study

    McGarrity, KS., Sietsma, J. & Jongbloed, G., 2012, In : Materials Science and Technology. 28, 8, p. 895-902 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Characterisation and quantification of microstructural banding in dual-phase steels Part 2 - case study extending to 3D

    McGarrity, KS., Sietsma, J. & Jongbloed, G., 2012, In : Materials Science and Technology. 28, 8, p. 903-910 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Chernoff's distribution and differential equations of parabolic and Airy type

    Groeneboom, P., Lalley, S. & Temme, N., 2015, In : Journal of Mathematical Analysis and Applications. 423, 2, p. 1804-1824 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  23. Commodity volatility modelling and option pricing with a potential function approach

    Anderluh, JHM. & Borovkova, SA., 2008, In : The European Journal of Finance. 14, 2, p. 91-113 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  24. Computing Chernoff's distribution

    Groeneboom, P. & Wellner, JA., 2001, In : Journal of Computational and Graphical Statistics. 10, 2, p. 388-400 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  25. Confidence Intervals for the Current Status Model

    Groeneboom, P. & Hendrickx, K., 2018, In : Scandinavian Journal of Statistics: theory and applications. 45, 1, p. 135-163 29 p.

    Research output: Contribution to journalArticleScientificpeer-review

  26. Consistency of maximum likelihood estimators in a large class of deconvolution models

    Groeneboom, P., Jongbloed, G. & Michael, S., 2013, In : Canadian Journal of Statistics. 41, 1, p. 98-110 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  27. Consistency of the takens estimator for the correlation dimension

    Borovkova, SA., Burton, R. & Dehling, HG., 1999, In : Annals of Applied Probability. 9, 2, p. 376-390 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  28. 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

  29. Conventional and pulse cathodic protection of reinforced concrete: Electrochemical behavior of the steel reinforcement after corrosion and protection

    Koleva, DA., Guo, Z., van Breugel, K. & de Wit, JHW., 2009, In : Materials and Corrosion. 60, 5, p. 344-354 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  30. Convex hulls of uniform samples from a convex polygon

    Groeneboom, P., 2012, In : Advances in Applied Probability. 44, 2, p. 330-342 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  31. Current status data with competing risks: consistency and rates of convergence of the mle

    Groeneboom, P., Maathuis, MH. & Wellner, JA., 2008, In : Annals of Statistics. 36, 3, p. 1031-1063 33 p.

    Research output: Contribution to journalArticleScientificpeer-review

  32. Current status data with competing risks: limiting distribution of the mle

    Groeneboom, P., Maathuis, MH. & Wellner, JA., 2008, In : Annals of Statistics. 36, 3, p. 1064-1089 26 p.

    Research output: Contribution to journalArticleScientificpeer-review

  33. Current status linear regression

    Groeneboom, P. & Hendrickx, K., 2018, In : Annals of Statistics. 46, 4, p. 1415-1444 30 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. 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

  35. Deconvolution with arbitrarily smooth kernels

    Cator, EA., 2001, In : Statistics & Probability Letters. 54, p. 205-214 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  36. Density estimation in the uniform deconvolution model

    Groeneboom, P. & Jongbloed, G., 2003, In : Statistica Neerlandica. 57, 1, p. 136-157 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  37. Detecting market transitions and energy futures risk management using principal components

    Borovkova, SA., 2005, In : The European Journal of Finance. 12, 6-7, p. 495-512 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

  38. Discrete ingham type inequalities and simultaneous observability of strings or beams

    Komornik, VI. & Loreti, P., 2009, In : Journal of Mathematical Analysis and Applications. 351, p. 16-28 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  39. Discriminant analysis in small and large dimensions

    Bodnar, T., Mazur, S., Ngailo, E. & Parolya, N., 2019, In : Theory of Probability and Mathematical Statistics. 100, p. 24-42 19 p.

    Research output: Contribution to journalArticleScientificpeer-review

  40. Discussion of nonparametric (smoothed) likelihood and integral equations by Piet Groeneboom

    Jongbloed, G., 2013, In : Journal of Statistical Planning and Inference. 143, 12, p. 2066-2067 2 p.

    Research output: Contribution to journalArticleScientificpeer-review

  41. Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017

    Chen, P., Fu, X., Ma, S., Xu, H. Y., Zhang, W., Xiao, G., Siow Mong Goh, R., Xu, G. & Ching Ng, L., 10 Jul 2020, In : Statistics in Medicine. 39, 15, p. 2101-2114 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Environmental data: multivariate Extreme Value Theory in practice

    Cai, J., Fougeres, AL. & Mercadier, C., 2013, In : Journal de la Société Française de Statistique. 154, 2, p. 178-199 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  43. Epidemics in networks with nodal self-infection and the epidemic threshold

    Van Mieghem, PFA. & Cator, EA., 2012, In : Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 86, 1, p. 016116-1-016116-10

    Research output: Contribution to journalArticleScientificpeer-review

  44. Ergodicity of the zigzag process

    Bierkens, J., Roberts, G. O. & Zitt, P-A., 2019, In : Annals of Applied Probability. 29, 4, p. 2266-2301 36 p.

    Research output: Contribution to journalArticleScientificpeer-review

  45. Estimating the age of Risso’s dolphins (Grampus griseus) based on skin appearance

    Hartman, K. L., Wittich, A., Cai, J., van der Meulen, F. & Azavedo, J. M. N., 2016, In : Journal of Mammalogy. 97, 2, p. 490-502 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  46. Estimation in monotone single-index models

    Groeneboom, P. & Hendrickx, K., 2018, In : Statistica Neerlandica. p. 1-22 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  47. Estimation of a convex function: characterization and asymptotic

    Groeneboom, P., Jongbloed, G. & Wellner, JA., 2001, In : Annals of Statistics. 29, 6, p. 1653-1698 46 p.

    Research output: Contribution to journalArticleScientificpeer-review

  48. Estimation of a decreasing hazard of patients with acute coronary syndrome

    van Geloven, N., Martin, I., Damman, P., de Winter, RJ., Tijssen, JG. & Lopuhaa, HP., 2013, In : Statistics in Medicine. 32, 7, p. 1223-1238 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  49. Estimation of the marginal expected shortfall: The mean when a related variable is extreme

    Cai, J-J., Einmahl, J. H. J., de Haan, L. & Zhou, C., 2015, In : Journal of the Royal Statistical Society: Series B. Statistical Methodology. 77, 2, p. 417-442 26 p.

    Research output: Contribution to journalArticleScientificpeer-review

  50. Estimation of the marginal expected shortfall under asymptotic independence

    Cai, J. & Musta, E., 2019, In : Scandinavian Journal of Statistics. p. 1-28 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  51. Estimators for the interval censoring problem

    Groeneboom, P. & Ketelaars, T., 2011, In : Electronic Journal of Statistics. 5, p. 1797-1845 49 p.

    Research output: Contribution to journalArticleScientificpeer-review