Publications

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

Borup, K., Kidmose, P., Phan, H. & Mikkelsen, K. (2023). Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. Biomedical Signal Processing and Control, 81, Article 104496. https://doi.org/10.1016/j.bspc.2022.104496

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

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

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

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

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

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

Last, G. & Otto, M. (2023). Disagreement coupling of Gibbs processes with an application to Poisson approximation. Annals of Applied Probability, 33(5), 4091-4126. https://doi.org/10.1214/22-AAP1916

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

Otto, M. & Thäle, C. (2023). Large nearest neighbour balls in hyperbolic stochastic geometry. Extremes, 26(3), 413-431. https://doi.org/10.1007/s10687-023-00470-0

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

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

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

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

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

Aeckerle-Willems, C. & Strauch, C. (2022). Sup-norm adaptive drift estimation for multivariate nonreversible diffusions. Annals of Statistics, 50(6), 3484-3509. https://doi.org/10.1214/22-AOS2237

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

Asmussen, S. & Bladt, M. (2022). Gram–Charlier methods, regime-switching and stochastic volatility in exponential Lévy models. Quantitative Finance, 22(4), 675-689. https://doi.org/10.1080/14697688.2021.1998585

Asmussen, S. & Bladt, M. (2022). Moments and polynomial expansions in discrete matrix-analytic models. Stochastic Processes and Their Applications, 150, 1165-1188. https://doi.org/10.1016/j.spa.2021.12.002

Asmussen, S. (2022). On the role of skewness and kurtosis in tempered stable (CGMY) Lévy models in finance. Finance and Stochastics, 26(3), 383-416. https://doi.org/10.1007/s00780-022-00482-x

Bülow, E., Hahn, U., Andersen, I. T., Rolfson, O., Pedersen, A. B. & Hailer, N. P. (2022). Prediction of Early Periprosthetic Joint Infection After Total Hip Arthroplasty. Clinical Epidemiology, 14, 239-253. https://doi.org/10.2147/CLEP.S347968

Chenavier, N. & Hirsch, C. (2022). Extremal lifetimes of persistent cycles. Extremes, 25(2), 299-330. https://doi.org/10.1007/s10687-021-00430-6

Christensen, J. T., Azeez, M. O., Labouriau, R., Ravnskov, S., Kristensen, H. L., Munkholm, L. J. & Rubæk, G. H. (2022). Effects of long-term contrasting lime and phosphorus applications on barley grain yield, root growth and abundance of mycorrhiza. Soil Use and Management, 38(1), 991-1003. https://doi.org/10.1111/sum.12750

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

Dexheimer, N. & Strauch, C. (2022). Estimating the characteristics of stochastic damping Hamiltonian systems from continuous observations. Stochastic Processes and Their Applications, 153, 321-362. https://doi.org/10.1016/j.spa.2022.08.008

Dexheimer, N. (2022). On statistical inference for selected multivariate stochastic processes of diffusion type. Aarhus Universitet.

Fomichov, V., Franceschi, S. & Ivanovs, J. (2022). Probability of total domination for transient reflecting processes in a quadrant. Advances in Applied Probability, 54(4), 1094-1138. https://doi.org/10.1017/apr.2022.2

Gille, S. & Hirsch, C. (2022). On the splitting principle for cohomological invariants of reflection groups. Transformation Groups, 27(4), 1261-1285. https://doi.org/10.1007/s00031-020-09637-6

Gomez, A. I., Kiderlen, M. & Pausinger, F. (2022). Improved entropy bounds for parity filtered self-timed ring based random number generators. Information Processing Letters, 174, Article 106212. https://doi.org/10.1016/j.ipl.2021.106212

Heydenreich, M. & Hirsch, C. (2022). Extremal linkage networks. Extremes, 25(2), 229-255. https://doi.org/10.1007/s10687-021-00433-3

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

Hirsch, C., Moka, S. B., Taimre, T. & Kroese, D. P. (2022). Rare Events in Random Geometric Graphs. Methodology and Computing in Applied Probability, 24(3), 1367-1383. https://doi.org/10.1007/s11009-021-09857-7

Hirsch, C., Jahnel, B. & Muirhead, S. (2022). Sharp phase transition for Cox percolation. Electronic Communications in Probability, 27, 1-13. https://doi.org/10.1214/22-ECP487

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

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

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

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

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

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

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

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

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

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

Aeckerle-Willems, C. & Strauch, C. (2021). Concentration of scalar ergodic diffusions and some statistical implications. Annales de l'institut Henri Poincare (B) Probability and Statistics, 57(4), 1857-1887. https://doi.org/10.1214/20-AIHP1144

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Revised 01.11.2023

Lars Madsen