Publications

Baudoin, F. & Mostovyi, O. (2024). The indifference value of the weak information.

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

Rivas-González, I., Schierup, M. H., Wakeley, J. & Hobolth, A. (2024). Trails: Tree reconstruction of ancestry using incomplete lineage sorting. PLoS Genetics, 20(2), Article e1010836. https://doi.org/10.1371/journal.pgen.1010836

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

Dörnemann, N. & Dette, H. (2023). A CLT for the difference of eigenvalue statistics of sample covariance matrices. https://doi.org/10.48550/arXiv.2306.09050

Olsen, M., Andersen, L. N. & Gross, A. (2023). An asymptotically optimal algorithm for online stacking. Mathematical Methods of Operations Research, 97(2), 161-178. https://doi.org/10.1007/s00186-022-00808-7

Roohi, M., Mirzajani, S. & Basse-O’Connor, A. (2023). A No-Chatter Single-Input Finite-Time PID Sliding Mode Control Technique for Stabilization of a Class of 4D Chaotic Fractional-Order Laser Systems. Mathematics, 11(21), Article 4463. https://doi.org/10.3390/math11214463

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

Reiß, M., Strauch, C. & Trottner, L. (2023). Change point estimation for a stochastic heat equation.

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

Hirsch, C., Jahnel, B. & Cali, E. (2023). Connection intervals in multi-scale infrastructure-augmented dynamic networks. Stochastic Models, 39(4), 851-877. https://doi.org/10.1080/15326349.2023.2184832

Pelizzola, M., Tanderup, K., Chopra, S., Jürgenliemk-Schulz, I. M., Nout, R., Kirchheiner, K. & Spampinato, S. (2023). Co-occurrence of symptoms after radiochemotherapy in locally advanced cervix cancer patients: a cluster analysis. Acta oncologica (Stockholm, Sweden), 62(11), 1479-1487. https://doi.org/10.1080/0284186X.2023.2271252

Heerten, N., Hirsch, C. P. & Otto, M. (2023). Cumulant method for weighted random connection models. https://doi.org/10.48550/arXiv.2311.00600 Focus to learn more

Ruiz, P. A. & Baudoin, F. (2023). Dirichlet forms on metric measure spaces as Mosco limits of Korevaar-Schoen energies.

Baudoin, F. & Chen, L. (2023). Dirichlet fractional Gaussian fields on the Sierpinski gasket and their discrete graph approximations. Stochastic Processes and Their Applications, 162, 593-616. https://doi.org/10.1016/j.spa.2023.05.005

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

Dörnemann, N. & Dette, H. (2023). Fluctuations of the diagonal entries of a large sample precision matrix. Statistics and Probability Letters, 198, Article 109838. https://doi.org/10.1016/j.spl.2023.109838

Baudoin, F., Gordina, M., Herzog, D., Kim, J. & Melcher, T. (2023). Functional inequalities for a family of infinite-dimensional diffusions with degenerate noise.

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

Chen, H., Pelizzola, M. & Futschik, A. (2023). Haplotype based testing for a better understanding of the selective architecture. BMC Bioinformatics, 24(1), Article 322. https://doi.org/10.1186/s12859-023-05437-3

Baudoin, F. & Chen, L. (2023). Heat kernel gradient estimates for the Vicsek set.

Christensen, K., Nielsen, M. S. & Podolskij, M. (2023). High-dimensional estimation of quadratic variation based on penalized realized variance. Statistical Inference for Stochastic Processes, 26(2), 331-359. https://doi.org/10.1007/s11203-022-09282-8

Ansarifar, S., Andreikė, G., Nazari, M., Labouriau, R., Nabavi, S. & Moreno, A. (2023). Impact of volume and expression time in an AAV-delivered channelrhodopsin. Molecular Brain, 16(1), Article 77. https://doi.org/10.1186/s13041-023-01067-1

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

Hirsch, C. P., Otto, M., Owada, T. & Thäle, C. (2023). LARGE DEVIATIONS FOR THE VOLUME OF HYPERBOLIC k-NEAREST NEIGHBOR BALLS.

Dörnemann, N. (2023). Likelihood ratio tests under model misspecification in high dimensions. Journal of Multivariate Analysis, 193, Article 105122. https://doi.org/10.1016/j.jmva.2022.105122

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

Eriksen, R. K. & Kiderlen, M. (2023). Mean Surface and Volume Particle Tensors under Restricted L-isotropy and Associated Ellipsoids. Advances in Geometry, 23(2).

Pedersen, J., Romio, C., Labouriau, R., Pacholski, A. S. & Hafner, S. D. (2023). Mitigating ammonia emission from slurry digestate applied to winter wheat crops: effect of digestate composition, digestate treatment, and application technique. Abstract from RAMIRAN, Cambridge, United Kingdom.

Pelizzola, M., Laursen, R. & Hobolth, A. (2023). Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization. BMC Bioinformatics, 24(1), Article 187. https://doi.org/10.1186/s12859-023-05304-1

Engsner, H., Lindskog, F. & Thøgersen, J. (2023). Multiple-prior valuation of cash flows subject to capital requirements. Insurance: Mathematics and Economics, 111, 41-56. https://doi.org/10.1016/j.insmatheco.2023.02.007

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

Pedersen, J., Hafner, S. D., Karlsson, V., Pacholski, A. S., Labouriau, R. & Kamp, J. N. (2023). Optimized design of flux chambers for online measurements of NH3 emission after field application of slurry with full-scale farm machinery. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-12677

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

Rivas-González, I., Andersen, L. N. & Hobolth, A. (2023). PhaseTypeR: an R package for phase-type distributions in population genetics. The Journal of Open Source Software, 8(82). https://doi.org/10.21105/joss.05054

Eriksen, R. K. & Kiderlen, M. (2023). Reconstructing Planar Ellipses from Translation-Invariant Minkowski Tensors of Rank Two. Discrete & Computational Geometry, 69(4), 1095-1120. https://doi.org/10.1007/s00454-022-00470-0

Borup, K. & Andersen, L. N. (2023). Self-Distillation for Gaussian Process Models. https://arxiv.org/pdf/2304.02641.pdf

Roohi, M., Zhang, C., Taheri, M. & Basse-O’Connor, A. (2023). Synchronization of Fractional-Order Delayed Neural Networks Using Dynamic-Free Adaptive Sliding Mode Control. Fractal and Fractional, 7(9), Article 682. https://doi.org/10.3390/fractalfract7090682

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

Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2023). The Regularity Problem for Uniformly Elliptic Operators in Weighted Spaces. Potential Analysis, 58(3), 409-439. https://doi.org/10.1007/s11118-021-09945-w

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

Dexheimer, N., Strauch, C. & Trottner, L. (2022). Adaptive invariant density estimation for continuous-time mixing Markov processes under sup-norm risk. Annales de l'institut Henri Poincare (B) Probability and Statistics, 58(4), 2029-2064. https://doi.org/10.1214/21-AIHP1235

Baudoin, F., Grong, E. & Vega-Molino, G. (2022). A horizontal Chern–Gauss–Bonnet formula on totally geodesic foliations. Annals of Global Analysis and Geometry, 61(4), 759-776. https://doi.org/10.1007/s10455-022-09827-3

Baudoin, F., Cho, G. & Yang, G. (2022). A note on first eigenvalue estimates by coupling methods in Kähler and quaternion Kähler manifolds. Electronic Communications in Probability, 27, Article 12. https://doi.org/10.1214/22-ECP452

Baudoin, F. & Chen, L. (2022). A note on second order Riesz transforms in 3-dimensional Lie groups. ARCHIV DER MATHEMATIK, 118(3), 291-304. https://doi.org/10.1007/s00013-021-01699-6

Laursen, R. & Hobolth, A. (2022). A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank. SIAM Journal on Matrix Analysis and Applications, 43(1), 257-273. https://doi.org/10.1137/20M1378971

Baudoin, F. & Yang, G. (2022). Brownian Motions and Heat Kernel Lower Bounds on Kähler and Quaternion Kähler Manifolds. International Mathematics Research Notices, 2022(6), 4659-4681. https://doi.org/10.1093/imrn/rnaa199

Displaying results 101 to 150 out of 1325

Revised 03.03.2026

Lars Madsen