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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., 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

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

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

Hirsch, C. P., Otto, M. & Svane, A. M. (2024). NORMAL APPROXIMATION FOR GIBBS PROCESSES VIA DISAGREEMENT COUPLINGS. https://doi.org/10.1214/25-EJP1351

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

Hirsch, C. & Willhalm, D. (2025). Large deviations of one-hidden-layer neural networks. Stochastics and Dynamics, 24(8), Article 2550002. https://doi.org/10.1142/S0219493725500029

Hirsch, C., Jahnel, B., Jhawar, S. K. & Juhasz, P. (2025). Poisson approximation of fixed-degree nodes in weighted random connection models. Stochastic Processes and Their Applications, 183, Article 104593. https://doi.org/10.1016/j.spa.2025.104593

Hirsch, C. & Valesin, D. (2025). Face and cycle percolation. Journal of Applied and Computational Topology, 9(1), Article 6. https://doi.org/10.1007/s41468-025-00202-2

Hirsch, C. & Petráková, M. (2025). Large-Deviation Analysis for Canonical Gibbs Measures. Journal of Statistical Physics, 192(5), Article 71. https://doi.org/10.1007/s10955-025-03451-8

Hirsch, C. & Juhasz, P. (2025). On the Topology of Higher-order Age-dependent Random Connection Models. Methodology and Computing in Applied Probability, 27(2), Article 44. https://doi.org/10.1007/s11009-025-10173-7

Hirsch, C. P., Jahnel, B. & Juhász, P. (2025). Functional limit theorems for edge counts in dynamic random connection hypergraphs. https://arxiv.org/pdf/2507.16270

Hirsch, C. & Owada, T. (2026). Limit theorems under heavy-tailed scenario in the age-dependent random connection models. Stochastic Processes and Their Applications, 192, Article 104815. https://doi.org/10.1016/j.spa.2025.104815

Hirsch, C., Otto, M., Owada, T. & Thäle, C. (2025). Large deviations for the volume of hyperbolic k-nearest neighbor balls. Annales de l'institut Henri Poincare (B) Probability and Statistics, 61(2), 1443-1457. https://doi.org/10.1214/23-AIHP1458

Hirsch, C., Lundbye, N. N. & Otto, M. (2026). Poisson approximation of large-lifetime cycles. Extremes, 29(3), 495-559. https://doi.org/10.1007/s10687-026-00526-x

Hinrichsen, L. K., Labouriau, R., Engberg, R. M., Knierim, U. & Sørensen, J. T. (2016). Helminth infection is associated with hen mortality in Danish organic egg production. Veterinary Record, 179(8), 196. https://doi.org/10.1136/vr.103614

Hinrichsen, L. K., Riber, A. B. & Labouriau, R. (2016). Associations between and development of welfare indicators in organic layers. Animal, 10(6), 953-960. https://doi.org/10.1017/S1751731115003018

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

Heydari, S., Allahyari, H., Labouriau, R., Golpayegani, A. Z. & Enkegaard, A. (2017). Patch residence time and patch preference of the predatory mite Amblyseius swirskii in relation to prey diversity. BioControl, 62(2), 209-219. https://doi.org/10.1007/s10526-017-9788-x

Hellmund, G., Prokesová, M. & Jensen, E. B. V. (2008). Lévy based Cox point processes. Advances in Applied Probability, 40(3), 603-629. https://doi.org/10.1239/aap/1222868178

Heinrich, C. & Podolskij, M. (2014). On spectral distribution of high dimensional covariation matrices. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2014-54

Hein, J., Jensen, J. L. & Pedersen, C. N. S. (2002). Recursions for Statistical Multiple Alignment. Department of Mathematical Sciences , University of Aarhus.

Hein, J., Jensen, J. L. & Pedersen, C. N. S. (2003). Recursions for statistical multiple alignment. Proceedings of the National Academy of Sciences (PNAS), 100(25), 14960-14965. https://doi.org/10.1073/pnas.2036252100

Hein, J., Pedersen, C. N. S. & Jensen, J. L. (2002). Recursions for Statistical Multiple Alignment. Proceedings of the National Academy of Sciences (PNAS), 100(25), 14960-14965.

Heick, T. M., Jørgensen, L. N., Justesen, A. F. & Labouriau, R. (2018). Leaf disease control in sugar beet performed early before appearance of visual symptoms. Poster session presented at 76th IIRB congress, Deauville, France.

Heick, T. M., Hansen, A. L., Munk, L., Labouriau, R., Wu, K. Y. K. & Jørgensen, L. N. (2020). The effect of fungicide sprays on powdery mildew and rust and yield of sugar beet in Denmark. Crop Protection, 135, Article 105199. https://doi.org/10.1016/j.cropro.2020.105199

Hefner, M., Labouriau, R. & Kristensen, H. L. (2017). Das Konzept des „controlled traffic farming“ im ökologischen Gemüseanbau. 382-385. Paper presented at 14. Wissenschaftstaggung Ökologischer Landbau
Freising, Tyskland.

Hefner, M., Labouriau, R., Nørremark, M. & Kristensen, H. L. (2018). Controlled traffic farming increases root growth, crop and soil nitrogen in vegetable cropping systems. Poster session presented at The 20th Nitrogen Workshop, Rennes, France.

Hefner, M., Labouriau, R. & Kristensen, H. L. (2017). Controlled traffic farming increases crop yield, root growth and soil mineral N in organic vegetable production. In Proceedings of the Innovative Solutions for Sustainable Management of Nitrogen Conference, Aarhus, Denmark (pp. 82). Aarhus Universitet.

Hefner, M., Labouriau, R., Nørremark, M. & Kristensen, H. L. (2018). Controlled traffic farming increases root growth, crop and soil nitrogen in vegetable cropping systems. In Proceedings of the 20th Nitrogen Workshop “Coupling C - N - P - S cycles” (pp. 461-462) https://workshop.inra.fr/nitrogenworkshop2018/content/download/4995/57403/version/1/file/20th+Nitrogen+Workshop_2018_Final+Proceedings.pdf

Hefner, M., Labouriau, R. & Kristensen, H. L. (2017). Controlled traffic farming increases soil mineral N, crop yield and root growth in vegetables. Poster session presented at Innovative Solutions for Sustainable Management of Nitrogen, Aarhus.

Hefner, M., Labouriau, R., Nørremark, M. & Kristensen, H. L. (2019). Controlled traffic farming increased crop yield, root growth, and nitrogen supply at two organic vegetable farms. Soil and Tillage Research, 191, 117-130. https://doi.org/10.1016/j.still.2019.03.011

Hefner, M., Gebremikael, M. T., Canali, S., Sans Serra, F. X., Petersen, K. K., Sorensen, J. N., De Neve, S., Labouriau, R. & Kristensen, H. L. (2020). Cover crop composition mediates the constraints and benefits of roller-crimping and incorporation in organic white cabbage production. Agriculture, Ecosystems and Environment, 296, Article 106908. https://doi.org/10.1016/j.agee.2020.106908

Hefner, M., Labouriau, R., Nørremark, M. & Kristensen, H. L. (2020). Corrigendum to “Controlled traffic farming increased crop yield, root growth, and nitrogen supply at two organic vegetable farms” [Soil Tillage Res. 191 (August) (2019) 117–130] (Soil & Tillage Research (2019) 191 (117–130), (S0167198718307827), (10.1016/j.still.2019.03.011)). Soil and Tillage Research, 200, Article 104588. https://doi.org/10.1016/j.still.2020.104588

Hefner, M., Canali, S., Willekens, K., Lootens, P., Deltour, P., Beeckman, A., Arlotti, D., Tamm, K., Bender, I., Labouriau, R. & Kristensen, H. L. (2020). Termination method and time of agro-ecological service crops influence soil mineral nitrogen, cabbage yield and root growth across five locations in Northern and Western Europe. European Journal of Agronomy, 120, Article 126144. https://doi.org/10.1016/j.eja.2020.126144

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

Heerten, N., Hirsch, C. & Otto, M. (2025). Moderate deviations for weight-dependent random connection models. Journal of Applied Probability, 62(4), 1406-1428. https://doi.org/10.1017/jpr.2025.13

Hede, M. S., Fjelstrup, S., Lötsch, F., Zoleko, R. M., Klicpera, A., Groger, M., Mischlinger, J., Endame, L., Veletzky, L., Neher, R., Simonsen, A. K. W., Petersen, E., Mombo-Ngoma, G., Stougaard, M., Ho, Y.-P., Labouriau, R., Ramharter, M. & Knudsen, B. R. (2018). Detection of the Malaria causing Plasmodium Parasite in Saliva from Infected Patients using Topoisomerase I Activity as a Biomarker. Scientific Reports, 8(1), 4122. Article 4122. https://doi.org/10.1038/s41598-018-22378-7

Hautsch, N. & Podolskij, M. (2013). Preaveraging-Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence. Journal of Business and Economic Statistics, 31(2), 165-183. https://doi.org/10.1080/07350015.2012.754313

Hautsch, N. & Podolskij, M. (2013). Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: theory, implementation, and empirical evidence. Journal of Business and Economic Statistics, 31(2), 165-183.

Hasselholt, S., Hahn, U., Vedel Jensen, E. B. & Nyengaard, J. R. (2019). Practical implementation of the planar and spatial rotator in a complex tissue: the brain. Journal of Microscopy, 273(1), 26-35. https://doi.org/10.1111/jmi.12757

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.

Hasselholt, S., Stephensen, H. J. T., Janssen, D., Molnar, K., Andersen, A. H., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2024). Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model. Abstract from The 7th Danish Bioimaging Scientific Symposium, Copenhagen, Denmark.

Hasebe, T. & Thorbjørnsen, S. (2016). Unimodality of the freely selfdecomposable probability laws. Journal of Theoretical Probability, 29(3), 922-940. https://doi.org/10.1007/s10959-015-0595-y

Hasebe, T., Sakuma, N. & Thorbjørnsen, S. (2019). The Normal Distribution Is Freely Self-decomposable. International Mathematics Research Notices, 2019(6), 1758-1787. https://doi.org/10.1093/imrn/rnx171

Hartvig, N. V., Jensen, J. L. & Pedersen, J. (2001). A class of risk neutral densities with heavy tails. Finance and Stochastics, 5(1), 115-128. https://doi.org/10.1007/s007800000025

Hartvig, N. V. & Jensen, J. L. (2000). Spatial mixture modeling of fMRI data. Human Brain Mapping, 11(4), 233-248. https://doi.org/10.1002/1097-0193(200012)11:4<233::AID-HBM10>3.0.CO;2-F

Hansen, J. V., Jensen, J. L. & Højsgaard, S. (2008). A State Space Model Exhibiting a Cyclic Structure with an Application to Progesterone Concentration in Cow Milk. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

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Lars Madsen