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Organisaties
Publicaties
2026
Ordinal patterns based time series analysis and applications in privacy (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. Micali, G.https://doi.org/10.3990/1.9789036572583
2025
Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing (2025)[Working paper › Preprint]. ArXiv.org. Xu, Z., Solari, A., Fischer, L., de Heide, R., Ramdas, A. & Goeman, J.https://doi.org/10.48550/arXiv.2509.02517Authorship Verification of the Disputed Pauline Letters through Deep Learning (2025)HIPHIL Novum, 10(1). Beijen, E. & de Heide, R.https://doi.org/10.7146/hn.v10i1.147482The e-Partitioning Principle of False Discovery Rate Control (2025)[Working paper › Preprint]. ArXiv.org. Goeman, J., de Heide, R. & Solari, A.https://doi.org/10.48550/arXiv.2504.15946Carefree multiple testing with e-processes (2025)[Working paper › Preprint]. ArXiv.org. Tavyrikov, Y., Goeman, J. J. & de Heide, R.https://doi.org/10.48550/arXiv.2501.19360
2024
Authors' reply to the Discussion of 'Safe testing' (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(5), 1163-1171. Grünwald, P., De Heide, R. & Koolen, W.https://doi.org/10.1093/jrsssb/qkae069Safe Testing (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(5), 1091-1128. Grünwald, P., de Heide, R. & Koolen, W.https://doi.org/10.1093/jrsssb/qkae011E-statistics, group invariance and anytime-valid testing (2024)Annals of statistics, 52(4), 1410-1432. Pérez - Ortiz, M. F., Lardy, T., de Heide, R. & Grünwald, P.https://doi.org/10.1214/24-AOS2394
2023
Attribution-based Explanations that Provide Recourse Cannot be Robust (2023)Journal of machine learning research, 24, 1-37. Fokkema, H., de Heide, R. & van Erven, T.https://www.jmlr.org/papers/volume24/23-0042/23-0042.pdf
2022
On the truth-convergence of open-minded Bayesianism (2022)Review of Symbolic Logic, 15(1), 64-100. Sterkenburg, T. F. & de Heide, R.https://doi.org/10.1017/S1755020321000022
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