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Publications

All data comes from articles registered in PURE.

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2024

Contribution to journal

Dörnemann, N. & Dette, H. (2024). Linear spectral statistics of sequential sample covariance matrices. Annales de l'institut Henri Poincare (B) Probability and Statistics, 60(2), 946-970. https://doi.org/10.1214/22-AIHP1339
Bianchi, G., Gardner, R. J., Gronchi, P. & Kiderlen, M. (2024). The Pólya-Szegő inequality for smoothing rearrangements. Journal of Functional Analysis, 287(2), Article 110422. https://doi.org/10.1016/j.jfa.2024.110422

2023

Working Paper

Nagy, O., Pandey, M., Exarchakos, G., Bentum, M. & van der Hofstad, R. (2023). Communication protocol for a satellite-swarm interferometer.

2023

Contribution to conference

2023

Contribution to book anthology

Schjønning, P., Lamandé, M., De Pue, J., Cornelis, W. M., Labouriau, R. & Keller, T. (2023). The challenge in estimating soil compressive strength for use in risk assessment of soil compaction in field traffic. In D. L. Sparks (Ed.), Advances in Agronomy (Vol. 178, pp. 61-105). Academic Press. https://doi.org/10.1016/bs.agron.2022.11.003

2023

Contribution to journal

Rheinbay, E., Nielsen, M. M., Abascal, F., Wala, J. A., Shapira, O., Tiao, G., Hornshøj, H., Hess, J. M., Juul, R. I., Lin, Z., Feuerbach, L., Sabarinathan, R., Madsen, T., Kim, J., Mularoni, L., Shuai, S., Lanzós, A., Herrmann, C., Maruvka, Y. E. ... PCAWG Drivers and Functional Interpretation Working Group (2023). Erratum: Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (Nature (2020) 578 7793 (102-111)). Nature, 614(7948), E40. https://doi.org/10.1038/s41586-022-05599-9
Trottner, L., Aeckerle-Willems, C. & Strauch, C. (2023). Concentration analysis of multivariate elliptic diffusions. Journal of Machine Learning Research, 24(106), 1-38. Article 106. https://www.jmlr.org/papers/volume24/22-0666/22-0666.pdf
Ruiz, P. A., Baudoin, F., Chen, L., Rogers, L., Shanmugalingam, N. & Teplyaev, A. (2023). BV functions and fractional Laplacians on Dirichlet spaces. Asian Journal of Mathematics, 27(4), 441-466. Article 001. https://doi.org/10.4310/ajm.2023.v27.n4.a1
Labouriau, R. (2023). On the Bias of the Score Function of Finite Mixture Models. Communications in Statistics: Theory and Methods, 52(13), 4461-4467. https://doi.org/10.1080/03610926.2021.1995429
Hirsch, C., Neumann, M. & Schmidt, V. (2023). Asymptotic properties of one-layer artificial neural networks with sparse connectivity. Statistics & Probability Letters, 193, Article 109698. https://doi.org/10.1016/j.spl.2022.109698
Hirsch, C., Holmes, M. & Kleptsyn, V. (2023). Infinite WARM graphs III: Strong reinforcement regime. Nonlinearity, 36(6), 3013-3042. https://doi.org/10.1088/1361-6544/acc9a0
Cipriani, A., Hirsch, C. & Vittorietti, M. (2023). Topology-based goodness-of-fit tests for sliced spatial data. Computational Statistics and Data Analysis, 179, Article 107655. https://doi.org/10.1016/j.csda.2022.107655