Publications

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Ivanovs, J. & Yamazaki, K. (2024). A series expansion formula of the scale matrix with applications in CUSUM analysis. Stochastic Processes and Their Applications, 170, Artikel 104300. https://doi.org/10.1016/j.spa.2024.104300

Basse-O’connor, A. & Podolskij, M. (2024). Asymptotic theory for quadratic variation of harmonizable fractional stable processes. Theory of Probability and Mathematical Statistics, 110, 3-12. https://doi.org/10.1090/tpms/1203

Baudoin, F. (2024). Bottom of the spectrum for manifolds foliated by minimal leaves.

Dörnemann, N. & Paul, D. (2024). Detecting Spectral Breaks in Spiked Covariance Models.

Baudoin, F., Gordina, M. & Sarkar, R. (2024). Dimension-independent functional inequalities by tensorization and projection arguments.

Pedersen, J., Labouriau, R. & Feilberg, A. (2024). Effect of slurry separation and air-plasma treatment on NH₃ and VOC emissions from field applied biogas digestate and pig slurry to grassland. Biosystems Engineering, 247, 257-266. https://doi.org/10.1016/j.biosystemseng.2024.09.014

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

Pedersen, J., Hafner, S. D., Pacholski, A. S., I. Karlsson, V., Rong, L., Labouriau, R. & Kamp, J. N. (2024). Evaluation of optimized flux chamber design for measurement of ammonia emission after field application of slurry with full-scale farm machinery. Atmospheric Measurement Techniques, 17(14), 4493–4505. https://doi.org/10.5194/amt-17-4493-2024

Baudoin, F., Lang, Q. & Sire, Y. (2024). Extension method in Dirichlet spaces with sub-Gaussian estimates and applications to regularity of jump processes on fractals.

Laursen, R., Maretty, L. & Hobolth, A. (2024). Flexible model-based non-negative matrix factorization with application to mutational signatures. Statistical Applications in Genetics and Molecular Biology, 23(1), Artikel 20230034. https://doi.org/10.1515/sagmb-2023-0034

Baudoin, F. & Lacaux, C. (2024). Fractional stable random fields on the Sierpiński gasket. https://doi.org/10.1016/j.spa.2024.104481

Ruiz, P. A. & Baudoin, F. (2024). Korevaar-Schoen $p$-energies and their $Γ$-limits on Cheeger spaces.

Christensen, S., Strauch, C. & Trottner, L. (2024). Learning to reflect: A unifying approach for data-driven stochastic control strategies. Bernoulli, 30(3), 2074-2101. https://doi.org/10.3150/23-BEJ1665

Hirsch, C. & Willhalm, D. (2024). Lower large deviations for geometric functionals in sparse, critical and dense regimes. Alea (Rio de Janeiro), 21(2), 923-962. https://doi.org/10.30757/ALEA.V21-38

Hobolth, A. & Wiuf, C. (2024). Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model. Theoretical Population Biology, 156, 1-4. https://doi.org/10.1016/j.tpb.2023.12.004

Tiepner, A. & Trottner, L. (2024). Multivariate change estimation for a stochastic heat equation from local measurements.

Strauch, C. & Tiepner, A. (2024). Nonparametric velocity estimation in stochastic convection-diffusion equations from multiple local measurements. https://doi.org/10.48550/arXiv.2402.08353

Botnan, M. B. & Hirsch, C. (2024). On the consistency and asymptotic normality of multiparameter persistent Betti numbers. Journal of Applied and Computational Topology, 8(6), 1465-1502. https://doi.org/10.1007/s41468-022-00110-9

Altmeyer, R., Tiepner, A. & Wahl, M. (2024). Optimal parameter estimation for linear SPDEs from multiple measurements. Annals of Statistics, 52(4), 1307-1333. https://doi.org/10.1214/24-AOS2364

Baudoin, F., Chen, L., Huang, C.-H., Ouyang, C., Tindel, S. & Wang, J. (2024). Parabolic Anderson model in bounded domains of recurrent metric measure spaces.

Tiepner, A. & Ziebell, E. (2024). Parameter estimation in hyperbolic linear SPDEs from multiple measurements.

Hobolth, A., Rivas-González, I., Bladt, M. & Futschik, A. (2024). Phase-type distributions in mathematical population genetics: An emerging framework. Theoretical Population Biology, 157, 14-32. https://doi.org/10.1016/j.tpb.2024.03.001

Baudoin, F., Gordina, M. & Melcher, T. (2024). Quasi-Invariance for Infinite-Dimensional Kolmogorov Diffusions. Potential Analysis, 60(2), 807-831. https://doi.org/10.1007/s11118-023-10070-z

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

Roohi, M., Mirzajani, S., Haghighi, A. R. & Basse-O’Connor, A. (2024). Robust Design of Two-Level Non-Integer SMC Based on Deep Soft Actor-Critic for Synchronization of Chaotic Fractional Order Memristive Neural Networks. Fractal and Fractional, 8(9), Artikel 548. https://doi.org/10.3390/fractalfract8090548

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), Artikel 110422. https://doi.org/10.1016/j.jfa.2024.110422

Barnes, K., Juhász, P., Nagy, M. & Molontay, R. (2024). Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memes. Social Network Analysis and Mining, 14(1), Artikel 119. https://doi.org/10.1007/s13278-024-01272-3

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

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), Artikel 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, Artikel 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. Artikel 001. https://doi.org/10.4310/ajm.2023.v27.n4.a1

Trottner, L., Aeckerle-Willems, C. & Strauch, C. (2023). Concentration analysis of multivariate elliptic diffusions. Journal of Machine Learning Research, 24(106), 1-38. 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

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, Artikel 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), Artikel 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), Artikel 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

Ivanovs, J. & Thøstesen, J. D. (2023). Lévy processes conditioned to stay in a half-space with applications to directional extremes. Modern Stochastics: Theory and Applications, 10(1), 59-75. https://doi.org/10.15559/22-VMSTA217

Dörnemann, N. (2023). Likelihood ratio tests under model misspecification in high dimensions. Journal of Multivariate Analysis, 193, Artikel 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

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Revideret 06.09.2024

Lars Madsen