Publications

2024

Contribution to journal

Asmussen, S. (2024). Erlangization/Canadization of Phase-Type Jump Diffusions, with Applications to Barrier Options. Journal of the Indian Society for Probability and Statistics, 25(2), 575-596. https://doi.org/10.1007/s41096-024-00209-5

Asmussen, S. & Glynn, P. W. (2024). Refined behaviour of a conditioned random walk in the large deviations regime. Bernoulli, 30(1), 371-387. https://doi.org/10.3150/23-BEJ1601

2023

Working Paper

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

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.

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

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

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

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

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

2023

Contribution to conference

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.

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

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

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

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

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

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

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

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

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., 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2022

Working Paper

Ruiz, P. A. & Baudoin, F. (2022). Oscillations of BV measures on nested fractals. https://doi.org/10.48550/arXiv.2201.12274

Dörnemann, N. & Heiny, J. (2022). Limiting spectral distribution for large sample correlation matrices.

Baudoin, F. (2022). Korevaar-Schoen-Sobolev spaces and critical exponents in metric measure spaces. https://doi.org/10.48550/arXiv.2207.12191

Baudoin, F., Demni, N. & Wang, J. (2022). Stochastic areas, Horizontal Brownian Motions, and Hypoelliptic Heat Kernels.

Baudoin, F., Grong, E., Neel, R. & Thalmaier, A. (2022). Variations of the sub-Riemannian distance on Sasakian manifolds with applications to coupling. ArXiv.

2022

Contribution to conference

Molnár, K., Stephensen, H. J. T., Hahn, U., Xu, Z., Hasselholt, S. & Nyengaard, J. R. (2022). Node of Ranvier changes in a new mouse model of amyotrophic lateral sclerosis (ALS). Abstract from 5th Annual Research Meeting at the Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.

Hasselholt, S., Stephensen, H. J. T., Janssen, D., Hasselholt, A., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2022). Structural and functional changes in a genetic model of amyotrophic lateral sclerosis. Abstract from SfN 2022, San Diego, CA, United States.

2022

Contribution to book anthology

Baudoin, F. (2022). Geometric Inequalities on Riemannian and Sub-Riemannian Manifolds by Heat Semigroups Techniques. In Lecture Notes in Mathematics (pp. 7-91). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-84141-6_2

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Lars Madsen