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2023

Contribution to journal

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 and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-84141-6_2

2022

Contribution to journal

Asmussen, S. & Bladt, M. (2022). From PH/MAP to ME/RAP. Queueing Systems, 100(3-4), 173-175. https://doi.org/10.1007/s11134-022-09755-w

Stehr, M., Kiderlen, M. & Dorph-Petersen, K.-A. (2022). Improving Cavalieri volume estimation based on non-equidistant planar sections: The trapezoidal estimator. Journal of Microscopy, 288(1), 40-53. https://doi.org/10.1111/jmi.13141

Shanmugam, S., Hefner, M., Pelck, J. S., Labouriau, R. & Kristensen, H. L. (2022). Complementary resource use in intercropped faba bean and cabbage by increased root growth and nitrogen use in organic production. Soil Use and Management, 38(1), 729-740. https://doi.org/10.1111/sum.12765

Shanmugam, S., Hefner, M., Labouriau, R., Trinchera, A., Willekens, K. & Kristensen, H. L. (2022). Intercropping and fertilization strategies to progress sustainability of organic cabbage and beetroot production. European Journal of Agronomy, 140, Article 126590. https://doi.org/10.1016/j.eja.2022.126590

Saleem, K., Hovmøller, M. S., Labouriau, R., Justesen, A. F., Orabi, J., Andersen, J. R. & Sørensen, C. K. (2022). Macroscopic and Microscopic Phenotyping Using Diverse Yellow Rust Races Increased the Resolution of Seedling and Adult Plant Resistance in Wheat Breeding Lines. Agronomy, 12(5), Article 1062. https://doi.org/10.3390/agronomy12051062

Ruiz, P. A. & Baudoin, F. (2022). Oscillations of BV measures on unbounded nested fractals. Journal of Fractal Geometry, 9(3), 373-396. https://doi.org/10.4171/JFG/122

Røikjer, T., Hobolth, A. & Munch, K. (2022). Graph-based algorithms for phase-type distributions. Statistics and Computing, 32(6), Article 103. https://doi.org/10.1007/s11222-022-10174-3

Pandey, M., Chakrabarty, A. & Chakraborty, S. (2022). Length of stationary Gaussian excursions. Proceedings of the American Mathematical Society, 151(3), 1339. https://www.ams.org/journals/proc/2023-151-03/S0002-9939-2022-16245-5/S0002-9939-2022-16245-5.pdf

Ljungdahl, M. M. & Podolskij, M. (2022). Multidimensional parameter estimation of heavy-tailed moving averages. Scandinavian Journal of Statistics, 49(2), 593-624. https://doi.org/10.1111/sjos.12527

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

Krebs, J. & Hirsch, C. (2022). Functional central limit theorems for persistent Betti numbers on cylindrical networks. Scandinavian Journal of Statistics, 49(1), 427-454. https://doi.org/10.1111/sjos.12524

Kiderlen, M. & Pausinger, F. (2022). On a partition with a lower expected L₂-discrepancy than classical jittered sampling. Journal of Complexity, 70, Article 101616. https://doi.org/10.1016/j.jco.2021.101616

Jensen, L. G., Williamson, D. & Hahn, U. (2022). Semiparametric point process modeling of blinking artifacts in PALM. The Annals of Applied Statistics, 16(3), 1500-1523. https://doi.org/10.1214/21-AOAS1553

Ivanovs, J. & Podolskij, M. (2022). Optimal estimation of the supremum and occupation times of a self-similar Lévy process. Electronic Journal of Statistics, 16(1), 892-934. https://doi.org/10.1214/21-EJS1928

Hirsch, C., Jahnel, B. & Cali, E. (2022). Percolation and connection times in multi-scale dynamic networks. Stochastic Processes and Their Applications, 151, 490-518. https://doi.org/10.1016/j.spa.2022.06.008

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Lars Madsen