Publications

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, [104496]. https://doi.org/10.1016/j.bspc.2022.104496

Cipriani, A., Hirsch, C. & Vittorietti, M. (2023). Topology-based goodness-of-fit tests for sliced spatial data. Computational Statistics and Data Analysis, 179, [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, [109698]. https://doi.org/10.1016/j.spl.2022.109698

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

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

Chenavier, N., Henze, N. & Otto, M. (2022). Limit laws for large kth-nearest neighbor balls. Journal of Applied Probability, 59(3), 880-894. https://doi.org/10.1017/jpr.2021.92

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, [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, [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), [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), [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, [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

Dormann, F., Frisk, O., Andersen, L. N. & Pedersen, C. F. (2021). Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates. In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. IEEE Workshop on Machine Learning for Signal Processing Vol. 2021 https://doi.org/10.1109/MLSP52302.2021.9596307

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

Asmussen, S., Constantinescu, C. & Thøgersen, J. (2021). On the risk of credibility premium rules. Scandinavian Actuarial Journal, 2021(10), 866-889. https://doi.org/10.1080/03461238.2021.1895298

Basse-O'Connor, A., Grønbæk, T. Ø. B. & Podolskij, M. (2021). Local asymptotic self-similarity for heavy-tailed harmonizable fractional Lévy motions. ESAIM: Probability & Statistics, 25, 286-297. https://doi.org/10.1051/ps/2021011

Basse-O'Connor, A., Pilipauskaite, V. & Podolskij, M. (2021). Power variations for fractional type infinitely divisible random fields. Electronic Journal of Probability, 26, [55]. https://doi.org/10.1214/21-EJP617

Bethuelsen, S. A., Hirsch, C. & Mönch, C. (2021). Quenched invariance principle for random walks on dynamically averaging random conductances. Electronic Communications in Probability, 26, 1-13. [69]. https://doi.org/10.1214/21-ECP440

Bladt, M. & Ivanovs, J. (2021). Fluctuation theory for one-sided Lévy processes with a matrix-exponential time horizon. Stochastic Processes and Their Applications, 142, 105-123. https://doi.org/10.1016/j.spa.2021.08.002

Borup, K. & Andersen, L. N. (2021). Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation. Paper presented at Conference on Neural Information Processing Systems 2021. https://proceedings.neurips.cc/paper/2021/file/2adcefe38fbcd3dcd45908fbab1bf628-Paper.pdf

Błaszczyszyn, B. & Hirsch, C. (2021). Optimal stationary markings. Stochastic Processes and Their Applications, 138, 153-185. https://doi.org/10.1016/j.spa.2021.04.003

Christensen, T. R. L. & Klose, A. (2021). A fast exact method for the capacitated facility location problem with differentiable convex production costs. European Journal of Operational Research, 292(3), 855-868. https://doi.org/10.1016/j.ejor.2020.11.048

Collet, F., Leisen, F. & Thorbjørnsen, S. (2021). Completely random measures and Lévy bases in free probability. Electronic Journal of Probability, 26, 1-41. https://doi.org/10.1214/21-EJP620

Cordeiro, G. M., Labouriau, R. & Botter, D. (2021). An introduction to Bent Jørgensen's ideas. Brazilian Journal of Probability and Statistics, 35(1), 2-20. https://doi.org/10.1214/19-BJPS458

Couzinie, Y. & Hirsch, C. (2021). Weakly reinforced Polya urns on countable networks. Electronic Communications in Probability, 26, [35]. https://doi.org/10.1214/21-ECP404

Cronin, I. V., Jensen, J. L., Thomsen, I. K., Labouriau, R. & Hansen, E. M. (2021). Fertiliser N rates interact with sowing time and catch crops in cereals and affect yield and nitrate leaching. European Journal of Agronomy, 124, [126244]. https://doi.org/10.1016/j.eja.2021.126244

Cázares, J. G. & Ivanovs, J. (2021). Recovering Brownian and jump parts from high-frequency observations of a Lévy process. Bernoulli, 27(4), 2413-2436. https://doi.org/10.3150/20-BEJ1314

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Revised 08.03.2023

Lars Madsen