Publications

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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

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

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 fra 5th Annual Research Meeting at the Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Danmark.

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

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

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

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

Ruiz, P. A. & Baudoin, F. (2022). Oscillations of BV measures on nested fractals. https://doi.org/10.48550/arXiv.2201.12274

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

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

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

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

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

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

Baudoin, F. & Chen, L. (2022). Sobolev spaces and Poincaré inequalities on the Vicsek fractal. Annales Fennici Mathematici, 48(1), 3-26. https://doi.org/10.54330/AFM.122168

Baudoin, F., Demni, N. & Wang, J. (2022). Stochastic areas, Horizontal Brownian Motions, and Hypoelliptic Heat Kernels.

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 fra SfN 2022, San Diego, CA, USA.

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

Baudoin, F., Grong, E., Neel, R. & Thalmaier, A. (2022). Variations of the sub-Riemannian distance on Sasakian manifolds with applications to coupling. ArXiv.

Hirsch, C., Holmes, M. & Kleptsyn, V. (2021). Absence of WARM percolation in the very strong reinforcement regime. Annals of Applied Probability, 31(1), 199-217. https://doi.org/10.1214/20-AAP1587

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

Pelck, J. S., Maia, R. P., Pinheiro, H. P. & Labouriau, R. (2021). A Multivariate Methodology for Analysing Students' Performance Using Register Data. ArXiv.

Pedersen, J., Nyord, T., Feilberg, A. & Labouriau, R. (2021). Analysis of the effect of air temperature on ammonia emission from band application of slurry. Environmental Pollution, 282, Artikel 117055. https://doi.org/10.1016/j.envpol.2021.117055

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

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

Baudoin, F. & Wang, J. (2021). Asymptotic windings of the block determinants of a unitary brownian motion and related diffusions. Electronic Journal of Probability, 26, Artikel 38. https://doi.org/10.1214/21-EJP600

Alonso-Ruiz, P., Baudoin, F., Chen, L., Rogers, L., Shanmugalingam, N. & Teplyaev, A. (2021). Besov class via heat semigroup on Dirichlet spaces III: BV functions and sub-Gaussian heat kernel estimates. Calculus of Variations and Partial Differential Equations, 60(5), Artikel 170. https://doi.org/10.1007/s00526-021-02041-2

Collet, F., Leisen, F. & Thorbjørnsen, S. (2021). Completely random measures and Lévy bases in free probability. Electronic Journal of Probability, 26, 1-41. Artikel 49. https://doi.org/10.1214/21-EJP620

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

Pelck, J. S. & Labouriau, R. (2021). Conditional Inference for Multivariate Generalised Linear Mixed Models. arXiv:stat.ME. https://arxiv.org/abs/2107.11765

Kiderlen, M. & Pausinger, F. (2021). Discrepancy of stratified samples from partitions of the unit cube. Monatshefte fur Mathematik, 195(2), 267-306. https://doi.org/10.1007/s00605-021-01538-4

Pedersen, J., Nyord, T., Feilberg, A., Labouriau, R., Hunt, D. & Bittman, S. (2021). Effect of reduced exposed surface area and enhanced infiltration on ammonia emission from untreated and separated cattle slurry. Biosystems Engineering, 211, 141-151. https://doi.org/10.1016/j.biosystemseng.2021.09.003

Borup, K. & Andersen, L. N. (2021). Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation. I MA. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang & J. Wortman Vaughan (red.), Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021 (s. 5316-5327). Neural Information Processing Systems Foundation. https://proceedings.neurips.cc/paper_files/paper/2021/file/2adcefe38fbcd3dcd45908fbab1bf628-Paper.pdf

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

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, Artikel 126244. https://doi.org/10.1016/j.eja.2021.126244

Alonso Ruiz, P. & Baudoin, F. (2021). Gagliardo-Nirenberg, Trudinger-Moser and Morrey inequalities on Dirichlet spaces. Journal of Mathematical Analysis and Applications, 497(2), Artikel 124899. https://doi.org/10.1016/j.jmaa.2020.124899

Baudoin, F., Gordina, M. & Herzog, D. P. (2021). Gamma Calculus Beyond Villani and Explicit Convergence Estimates for Langevin Dynamics with Singular Potentials. Archive for Rational Mechanics and Analysis, 241(2), 765-804. https://doi.org/10.1007/s00205-021-01664-1

Baudoin, F. (2021). Heat flow and sets of finite perimeter. Notices of the American Mathematical Society, 68(4), 582-583. https://doi.org/10.1090/noti2257

Baudoin, F. & Munteanu, O. (2021). Improved Beckner–Sobolev Inequalities on Kähler Manifolds. Journal of Geometric Analysis, 31(1), 100-125. https://doi.org/10.1007/s12220-019-00252-w

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

Hirsch, C., Bharti, A., Pedersen, T. & Waagepetersen, R. (2021). Maximum Likelihood Calibration of Stochastic Multipath Radio Channel Models. IEEE Transactions on Antennas and Propagation, 69(7), 4058-4069. Artikel 9298915. https://doi.org/10.1109/TAP.2020.3044379

Pelizzola, M., Behr, M., Li, H., Munk, A. & Futschik, A. (2021). Multiple haplotype reconstruction from allele frequency data. Nature Computational Science, 1(4), 262-271. https://doi.org/10.1038/s43588-021-00056-5

Bañuelos, R., Baudoin, F., Chen, L. & Sire, Y. (2021). Multiplier theorems via martingale transforms. Journal of Functional Analysis, 281(9), Artikel 109188. https://doi.org/10.1016/j.jfa.2021.109188

Pelck, J. S. & Labouriau, R. (2021). Multivariate Generalised Linear Mixed Models With Graphical Latent Covariance Structure. arXiv:stat.ME.

Pelck, J. S., Holthusen, H., Edelenbos, M., Luca, A. & Labouriau, R. (2021). Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models.

Hobolth, A., Bladt, M. & Andersen, L. N. (2021). Multivariate phase-type theory for the site frequency spectrum. Journal of Mathematical Biology, 83(6-7), Artikel 63. https://doi.org/10.1007/s00285-021-01689-w

Taghizadeh-Toosi, A., Janz, B., Labouriau, R., Olesen, J. E., Butterbach-Bahl, K. & Petersen, S. O. (2021). Nitrous oxide emissions from red clover and winter wheat residues depend on interacting effects of distribution, soil N availability and moisture level. Plant and Soil, 466(1-2), 121-138. https://doi.org/10.1007/s11104-021-05030-8

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. I 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. https://doi.org/10.1109/MLSP52302.2021.9596307

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

Jensen, J. L. (2021). On the Use of Saddlepoint Approximations in High Dimensional Inference. Sankhya A, 83(1), 379-392. https://doi.org/10.1007/s13171-019-00188-x

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Lars Madsen