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  2. Deconvolution with arbitrarily smooth kernels

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

    Research output: Contribution to journalArticleScientificpeer-review

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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., 2020, In : Statistics in Medicine. 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. From dimension estimation to asymptotics of dependent U - statistics

    Borovkova, SA., Burton, R. & Dehling, H., 2001, In : Limit theorems. 10, p. 1-34 34 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Functional Cramér–Rao bounds and Stein estimators in Sobolev spaces, for Brownian motion and Cox processes

    Musta, E., Pratelli, M. & Trevisan, D., 2017, In : Journal of Multivariate Analysis. 154, p. 135-146 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Functional central limit theorems for single-stage sampling designs

    Boistard, H., Lopuhaa, R. & Ruiz-Gazen, A., 2017, In : Annals of Statistics. 45, 4, p. 1728-1758 31 p.

    Research output: Contribution to journalArticleScientificpeer-review

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