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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
Kutta, T. & Dette, H. (2024). Validating approximate slope homogeneity in large panels. Journal of Econometrics, 246(1-2), Article 105898. https://doi.org/10.1016/j.jeconom.2024.105898
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
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
Nagy, O., Pandey, M., Exarchakos, G., Bentum, M. & van der Hofstad, R. (2023). Communication protocol for a satellite-swarm interferometer.
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
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
Baudoin, F., Demni, N. & Wang, J. (2023). Generalized Stochastic Areas, Winding Numbers, and Hyperbolic Stiefel Fibrations. International Mathematics Research Notices, 2023(9), 7925-7960. https://doi.org/10.1093/imrn/rnac072
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
Bonnet, G., Hirsch, C., Rosen, D. & Willhalm, D. (2023). Limit theory of sparse random geometric graphs in high dimensions. Stochastic Processes and Their Applications, 163, 203-236. https://doi.org/10.1016/j.spa.2023.06.002
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
Baudoin, F., Ouyang, C., Tindel, S. & Wang, J. (2023). Parabolic Anderson model on Heisenberg groups: The Itô setting. Journal of Functional Analysis, 285(1), Article 109920. https://doi.org/10.1016/j.jfa.2023.109920
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
Auscher, P., Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2023). The regularity problem for degenerate elliptic operators in weighted spaces. Revista Matematica Iberoamericana, 39(2), 563-610. https://doi.org/10.4171/RMI/1357