1. 2019
  2. 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

  3. Characterizing temporal bipartite networks - Sequential- Versus cross-tasking

    Peters, L. J. J. M., Cai, J. J. & Wang, H., 2019, Complex Networks and Their Applications VII: Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. Aiello, L. M., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P. & Rocha, L. M. (eds.). 1 ed. Cham: Springer, Vol. 2. p. 28-39 12 p. (Studies in Computational Intelligence; vol. 813).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. 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

  5. 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

  6. 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

  7. 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

  8. Improving precipitation forecasts using extreme quantile regression

    Velthoen, J., Cai, J., Jongbloed, G. & Schmeits, M., 2019, In : Extremes. 22, 4, p. 599-622 24 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Nonparametric Bayesian Volatility Estimation

    Gugushvili, S., van der Meulen, F., Schauer, M. & Spreij, P., 2019, 2017 MATRIX Annals. Wood, D., de Gier, J., Praeger, C. & Tao, T. (eds.). Cham: Springer, p. 279-302 24 p. (MATRIX Book Series book series; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  10. Nonparametric estimation of the lifetime and disease onset distributions for a survival-sacrifice model

    Gomes, A. E., Groeneboom, P. & Wellner, J. A., 2019, In : Electronic Journal of Statistics. 13, 2, p. 3195-3242 48 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Smooth nonparametric estimation under monotonicity constraints

    Musta, E., 2019, 295 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  12. The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data

    Bierkens, J., Fearnhead, P. & Roberts, G., 2019, In : Annals of Statistics. 47, 3, p. 1288-1320 33 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Traditional and 3D scan extracted measurements of the heads and faces of Dutch children

    Goto, L., Lee, W., Molenbroek, J., Cabo, A. & Goossens, R., 2019, In : International Journal of Industrial Ergonomics. 73, 14 p., 102828.

    Research output: Contribution to journalArticleScientificpeer-review

  14. 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

  15. The influence of Teacher cues on self-directed Learning in Math Education

    Cabo, A. & Klaassen, R., 25 Jun 2019, CDIO 2019 proceedings.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  16. Tests for the Weights of the Global Minimum Variance Portfolio in a High-Dimensional Setting

    Bodnar, T., Dmytriv, S., Parolya, N. & Schmid, W., 1 Sep 2019, In : IEEE Transactions on Signal Processing. 67, 17, p. 4479-4493 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. 2020
  18. 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

  19. 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

  20. The combined influence of grain size distribution and dislocation density on hardness of interstitial free steel

    Li, W., Vittorietti, M., Jongbloed, G. & Sietsma, J., 15 May 2020, In : Journal of Materials Science and Technology. 45, p. 35-43 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

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