1. 2019
  2. 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

  3. 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

  4. 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

  5. Smooth nonparametric estimation under monotonicity constraints

    Musta, E., 2019, 295 p.

    Research output: ThesisDissertation (TU Delft)Scientific

  6. 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

  7. 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

  8. 2018
  9. A central limit theorem for the Hellinger loss of Grenander-type estimators

    Lopuhaä, H. P. & Musta, E., 2018, In : Statistica Neerlandica. p. 1-17 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. A high quantile estimator based on the log-generalized Weibull tail limit

    de Valk, C. & Cai, J-J., 2018, In : Econometrics and Statistics. 6, p. 107-128 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. A model for the directional evolution of severe ocean storms

    Tendijck, S., Ross, E., Randell, D. & Jonathan, P., 2018, In : Environmetrics. p. 1-14 14 p., e2541.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Active learning in redesigning mathematics courses for engineering students

    Cabo, A. & Klaassen, R., 2018, The 14th International CDIO Conference: Proceedings – Full Papers. Bean, C., Bennedsen, J., Edström, K., Hugo, R., Röslof, J., Songer, R. & Yamamoto, T. (eds.). CDIO, p. 704-715 12 p.

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

  13. An Ultrasonic Sensor for Human Presence Detection to Assist Rescue Work in Large Buildings

    van Groeningen, T., Driessen, H., Söhl, J. & Voûte, R., 2018, In : ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. 4, 4/W7, p. 135-140 6 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  14. 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

  15. 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

  16. 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

  17. Integrating omics datasets with the OmicsPLS package

    el Bouhaddani, S., Uh, H-W., Jongbloed, G., Hayward, C., Klarić, L., Kielbasa, S. M. & Houwing-Duistermaat, J., 2018, In : BMC Bioinformatics. 19, 1, p. 1-9 9 p., 371.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Limit Theory in Monotone Function Estimation

    Durot, C. & Lopuhaa, H. P., 2018, In : Statistical Science. 33, 4, p. 547-567 21 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. Piecewise Deterministic Markov Processes for Continuous-Time Monte Carlo

    Fearnhead, P., Bierkens, J., Pollock, M. & Roberts, G. O., 2018, In : Statistical Science. 33, 3, p. 386-412 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains

    Bierkens, J., Bouchard-Côté, A., Doucet, A., Duncan, A. B., Fearnhead, P., Lienart, T., Roberts, G. & Vollmer, S. J., 2018, In : Statistics and Probability Letters. 136, p. 148-154 7 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Score estimation in the monotone single-index model

    Balabdaoui, F., Groeneboom, P. & Hendrickx, K., 2018, In : Scandinavian Journal of Statistics. p. 1-28 28 p.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Setting up a water quality ensemble forecast for coastal ecosystems: A case study of the southern North Sea

    Mészáros, L. & El Serafy, G., 2018, In : Journal of Hydroinformatics. 20, 4, p. 846-863 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

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