Publications

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

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

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

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), Artikel 682. https://doi.org/10.3390/fractalfract7090682

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

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

Rønn-Nielsen, A. & Jensen, E. B. V. (2014). Tail asymptotics for the supremum of an infinitely divisible field with convolution equivalent Lévy measure. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 09 http://math.au.dk/publs?publid=1006

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2016). Estimation of sample spacing in stochastic processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 17, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1091/

Rønn-Nielsen, A. & Jensen, E. B. V. (2016). Excursion sets of infinitely divisible random fields with convolution equivalent Lévy measure. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2016/11 http://math.au.dk/publs?publid=1075

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2017). Estimation of sample spacing in stochastic processes. Image Analysis and Stereology, 36(1), 43-49. https://doi.org/10.5566/ias.1681

Rønn-Nielsen, A. & Jensen, E. B. V. (2017). Excursion sets of infinitely divisible random fields with convolution equivalent Lévy measure. Journal of Applied Probability, 54(3), 833-851. https://doi.org/10.1017/jpr.2017.37

Rønn-Nielsen, A. & Jensen, E. B. V. (2018). Central limit theorem for mean and variogram estimators in Lévy-based models. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2018/06 https://data.math.au.dk/publications/csgb/2018/math-csgb-2018-06.pdf

Rønn-Nielsen, A. & Vedel Jensen, E. B. (2019). Central limit theorem for mean and variogram estimators in Lévy-based models. Journal of Applied Probability, 56(1), 209-222. https://doi.org/10.1017/jpr.2019.14

Ronn-Nielsen, A. & Jensen, E. B. V. (2016). Tail asymptotics for the supremum of an infinitely divisible field with convolution equivalent Lévy measure. Journal of Applied Probability, 53(1), 244-261. https://doi.org/10.1017/jpr.2015.22

Rojas-Nandayapa, L. & Asmussen, S. (2007). Efficient simulation of finite horizon problems in queueing and insurance risk. Department of Mathematical Sciences , University of Aarhus.

Rojas-Nandayapa, L. & Asmussen, S. (2007). Efficient simulation of finite horizon problems in queueing and insurance risk. Queueing Systems, 57(2-3), 85-97. https://doi.org/10.1007/s11134-007-9050-9

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

Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2017). Genetic diversity within and among aecia of the wheat rust fungus Puccinia striiformis on the alternate host Berberis vulgaris. Fungal Biology, 121(6-7), 541-549. https://doi.org/10.1016/j.funbio.2017.03.003

Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2018). Effect of host vernalisation, temperature and plant growth stage on wheat and triticale susceptibility to Puccinia striiformis. Abstract fra BGRI 2018, Marrakech, Marokko.

Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2020). Susceptibility of Winter Wheat and Triticale to Yellow Rust Influenced by Complex Interactions between Vernalisation, Temperature, Plant Growth Stage and Pathogen Race. Agronomy, 10(1), Artikel 13. https://doi.org/10.3390/agronomy10010013

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

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

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 Consortium (2020). Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature, 578(7793), 102-111. https://doi.org/10.1038/s41586-020-1965-x

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

Reiß, M., Strauch, C. & Trottner, L. (2023). Change point estimation for a stochastic heat equation.

Rauff Lind Christensen, T., Klose, A. & Andersen, K. A. (2010). Solving the Single-Sink, Fixed-Charge, Multiple-Choice Transportation Problem by Dynamic Programming. Abstract fra 4th Nordic Optimization Symposium, Aarhus, Danmark. http://www.asb.dk/article.aspx?pid=25146

Rasmusson, A., Hahn, U., Larsen, J. O., Gundersen, H. J. G., Jensen, E. B. V. & Nyengaard, J. R. (2013). The spatial rotator. Journal of Microscopy, 250(2), 88-100. https://doi.org/10.1111/jmi.12022

Rasmussen, M. J., Bertl, J., Guo, Q., Nielsen, M. M., Świtnicki, M., Hornshøj, H., Madsen, T., Hobolth, A. & Pedersen, J. S. (2017). Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate. eLife, 6, Artikel e21778. https://doi.org/10.7554/eLife.21778

Rasmus, S., Asmussen, S. & Wiktorsson, M. (2004). Pricing of some exotic options with NIG-Levy input. I M. Burbak (red.), Computational science - ICCS 2004 (s. 795-802). Springer.

Ramos Docampo, M. A., Abild Meyer, C., Ryberg, C., Otzen, D. E., Hirsch, C. & Städler, B. (2025). Actin Polymerizing Motors to Assist Cytoskeleton-like Networks Formation in Artificial Cells. ACS Nano, 19(42), 37324-37338. https://doi.org/10.1021/acsnano.5c12624

Rafati, A. H., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2016). Stereological estimation of particle shape and orientation from volume tensors. Journal of Microscopy, 263(3), 229-237. https://doi.org/10.1111/jmi.12382

Pulido-Moncada, M., Schjønning, P., Labouriau, R. & Munkholm, L. J. (2020). Residual effects of compaction on the subsoil pore system—A functional perspective. Soil Science Society of America Journal, 84(3), 717-730. https://doi.org/10.1002/saj2.20061

Pulido-Moncada, M., Labouriau, R., Kesser, M. M., Zanini, P. P. G., M.L. Guimarães, R. & Munkholm, L. J. (2021). Anisotropy of subsoil pore characteristics and hydraulic conductivity as affected by compaction and cover crop treatments. Soil Science Society of America Journal, 85(1), 28-39. https://doi.org/10.1002/saj2.20134

Prüfer, K., Munch, K., Hellmann, I., Akagi, K., Miller, J. R., Walenz, B., Koren, S., Sutton, G., Kodira, C., Winer, R., Knight, J. R., Mullikin, J. C., Meader, S. J., Ponting, C. P., Lunter, G., Higashino, S., Hobolth, A., Dutheil, J., Karakoç, E. ... Pääbo, S. (2012). The bonobo genome compared with the chimpanzee and human genomes. Nature, 486(7404), 527-31. https://doi.org/10.1038/nature11128

Prokešová, M., Dvořák, J. & Jensen, E. B. V. (2017). Two-step estimation procedures for inhomogeneous shot-noise Cox processes. Annals of the Institute of Statistical Mathematics, 69(3), 513-542. https://doi.org/10.1007/s10463-016-0556-y

Prokesová, M. & Jensen, E. B. V. (2013). Asymptotic Palm likelihood theory for stationary point processes. Annals of the Institute of Statistical Mathematics, 65(2), 387-412. https://doi.org/10.1007/s10463-012-0376-7

Prokesová, M., Dvorák, J. & Jensen, E. B. V. (2014). Two-step estimation procedures for inhomogeneous shot-noise Cox processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 02 http://math.au.dk/publs?publid=997

Prokesova, M., Hellmund, G. & Jensen, E. B. V. (2006). On spatio-temporal Lévy based Cox processes. I R. Lechnerová, I. Saxl & V. Benes (red.), Proceedings S⁴G, International Conference on Stereology, Spatial Statistics and Stochastic Geometry (s. 111-116). Union Czech Mathematicians and Physicists.

Prokesova, M., Hahn, U. & Jensen, E. B. V. (2006). Statistics for locally scaled point processes. I A. Baddeley, P. Gregori, J. Mateu, R. Stoica & D. Stoyan (red.), Case Studies in Spatial Point Process Modelling (s. 99-123). Springer. https://doi.org/10.1007/0-387-31144-0_5

Prokesova, M., Hellmund, G. & Jensen, E. B. V. (2006). Lévy based Cox processes for spatio-temporal modelling I A. M. Militino, M. D. Ugarte, B. Gonzalez-Ramajo & T. Goicoa (red.), Proceedings of the International Workshop on Spatio-Temporal Modelling (METMA3) (s. 247-250). Instituto de Estadistica de Navarra.

Prado-Martinez, J., Sudmant, P. H., Kidd, J. M., Li, H., Kelley, J. L., Lorente-Galdos, B., Veeramah, K. R., Woerner, A. E., O'Connor, T. D., Santpere, G., Cagan, A., Theunert, C., Casals, F., Laayouni, H., Munch, K., Hobolth, A., Halager, A. E., Malig, M., Hernandez-Rodriguez, J. ... Marques-Bonet, T. (2013). Great ape genetic diversity and population history. Nature, 499, 471–475. https://doi.org/10.1038/nature12228

Porsborg, P. S., Charmouh, A. P., Singh, V. K., Winge, S. B., Hvilsom, C., Oroperv, C., Hansen, L. T., Berner, J. A., Pelizzola, M., Laurentino, S., Neuhaus, N., Hobolth, A., Bataillon, T., Besenbacher, S., Almstrup, K. & Schierup, M. H. (2025). Long-read sequencing of primate testis and human sperm allows identification of recombination events in individuals. Nature Communications, 16(1), Artikel 10337. https://doi.org/10.1038/s41467-025-65248-3

Podolskij, M. & Ziggel, D. (2007). A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models. Institut for Økonomi, Aarhus Universitet. ftp://ftp.econ.au.dk/creates/rp/07/rp07_26.pdf

Podolskij, M. & Ziggel, D. (2008). A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models. Institut for Økonomi, Aarhus Universitet. ftp://ftp.econ.au.dk/creates/rp/08/rp08_22.pdf

Podolskij, M. & Vetter, M. (2009). Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps. Bernoulli, 15(3), 634-658. https://doi.org/10.3150/08-BEJ167

Podolskij, M. & Ziggel, D. (2010). New tests for jumps in semimartingale models. Statistical Inference for Stochastic Processes, 13(1), 15-41. https://doi.org/10.1007/s11203-009-9037-8

Podolskij, M. & Yoshida, N. (2013). Edgeworth expansion for functionals of continuous diffusion processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2013-33

Podolskij, M. & Wasmuth, K. (2013). Goodness-of-fit testing for fractional diffusions. Statistical Inference for Stochastic Processes, 16(2), 147-159. https://doi.org/10.1007/s11203-013-9082-1

Podolskij, M. & Yoshida, N. (2016). Edgeworth expansion for functionals of continuous diffusion processes. Annals of Applied Probability, 26(6), 3415-3455. https://doi.org/10.1214/16-AAP1179

Podolskij, M. (2015). Ambit fields: survey and new challenges. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 241-279). Springer. https://doi.org/10.1007/978-3-319-13984-5_12

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Lars Madsen