Publications

All data comes from articles registered in PURE.

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Dörnemann, N., Kokoszka, P., Kutta, T. & Lee, S. (2025). Monitoring for a Phase Transition in a Time Series of Wigner Matrices.

Dörnemann, N., Fleermann, M. & Heiny, J. (2025). Ties, Tails and Spectra: On Rank-Based Dependency Measures in High Dimensions.

Dörnemann, N. & Heiny, J. (2025). Limiting spectral distribution for large sample correlation matrices. Annals of Applied Probability, 35(4), 2570-2603. https://doi.org/10.1214/25-AAP2181

Dörnemann, N. T. & Dette, H. (2026). A CLT for the difference of eigenvalue statistics of sample covariance matrices. Bernoulli, 32(1), 615-637. https://doi.org/10.3150/25-BEJ1872

Dörnemann, N. T. & Kutta, T. (2025). Monitoring Time Series with Short Detection Delay. Electronic Journal of Statistics, 19(1), 2239-2275. https://doi.org/10.1214/25-EJS2385

Dörnemann, N. & Paul, D. S. (2026). Detecting spectral breaks in spiked covariance models. Bernoulli, 32(2), 1243-1266. https://doi.org/10.3150/25-BEJ1900

Dörnemann, N. (2026). Two-sample covariance inference in high-dimensional elliptical models. Electronic Journal of Statistics, 20(1), 633-666. https://doi.org/10.1214/26-EJS2499

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. https://doi.org/10.1109/MLSP52302.2021.9596307

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. & Strauch, C. (2024). On Lasso and Slope drift estimators for Lévy-driven Ornstein-Uhlenbeck processes. Bernoulli, 30(1), 88-116. https://doi.org/10.3150/22-BEJ1574

Deutch, S., Labouriau, R., Schønheyeder, H. C., Østergaard, L. & Sørensen, H. T. (2004). Crowding as a Risk Factor of Meningococcal Disease in Danish Prescholl Children: A Nationwide Population-based Case-control Study. Scandinavian Journal of Infectious Diseases, 36(1), 20-23. https://doi.org/10.1080/00365540310017500

Dette, H. & Podolskij, M. (2008). Testing the parametric form of the volatility in continuous time diffusion models-a stochastic process approach. Journal of Econometrics, 143(1), 56-73. https://doi.org/10.1016/j.jeconom.2007.08.002

Dette, H., Podolskij, M. & Vetter, M. (2006). Estimation of integrated volatility in continuous-time financial models with applications to goodness-of-fit testing. Scandinavian Journal of Statistics, 33(2), 259-278. https://doi.org/10.1111/j.1467-9469.2006.00479.x

Dette, H. & Dörnemann, N. (2020). Likelihood ratio tests for many groups in high dimensions. Journal of Multivariate Analysis, 178, Article 104605. https://doi.org/10.1016/j.jmva.2020.104605

Demétrio, C. G. B., Maia, R. P. & Labouriau, R. (2015). A competing risk model for discrete time with masked causes and gaussian random component.. Abstract from The 8th Conference of the Eastern Mediterranean Region International Biometric Society, Turkey.

Delgado, A., Jensen, R. M., Janstrup, K., Rose, T. H. & Andersen, K. (2012). A Constraint Programming Model for Fast Optimal Stowage of Container Vessel Bays. European Journal of Operational Research, 220(1), 251-261. https://doi.org/10.1016/j.ejor.2012.01.028

Debosz, K., Vognsen, L. & Labouriau, R. (2002). Carbohydrates in hot water extracts of soil aggregates as influenced by long-term management. Communication in Soil Science and Plant analysis, 33, 623-634.

Davtian, A., Hahn, U., Ohser, J. & Stoyan, D. (2000). Estimating number density $N_V$ - a comparison of an improved Saltykov estimator and the disector method. Image Analysis and Stereology, 19, 209-214.

Dare, E. & Kiderlen, M. (2024). Rotational Crofton formulae with a fixed subspace. Advances in Applied Mathematics, 153, Article 102611. https://doi.org/10.1016/j.aam.2023.102611

Dare, E. (2024). Stereologically adapted Crofton formulae for tensor valuations. Advances in Applied Mathematics, 160, Article 102754. https://doi.org/10.1016/j.aam.2024.102754

Dare, E., Kiderlen, M. & Thäle, C. (2025). A Blaschke–Petkantschin formula for linear and affine subspaces with application to intersection probabilities. Nonlinear Analysis, Theory, Methods and Applications, 250, Article 113672. https://doi.org/10.1016/j.na.2024.113672

Dare, E. (2025). Corrigendum to “Stereologically adapted Crofton formulae for tensor valuations” [Adv. Appl. Math. 160 (2024) 102754] (Advances in Applied Mathematics (2024) 160, (S0196885824000861), (10.1016/j.aam.2024.102754)). Advances in Applied Mathematics, 171, Article 102937. https://doi.org/10.1016/j.aam.2025.102937

Dare, E. (2025). Crofton and Blaschke–Petkantschin Formulae: Applications in Stereology and Intersection Probabilities. [PhD dissertation, Aarhus University].

D'Annibale, A., Labouriau, R., Sørensen, P., Krogh, P. H., Christensen, B. T. & Eriksen, J. (2019). Effect of acidified cattle slurry on a soil collembolan community: A mesocosmos study. European Journal of Soil Biology, 94, Article 103117. https://doi.org/10.1016/j.ejsobi.2019.103117

Dalsgaard, K. & Jensen, J. L. (1985). A methodological study of the sieving of small sand samples. In O. E. Barndorff-Nielsen, J. T. Møller, K. Rømer Rasmussen & B. B. Willetts (Eds.), Proceedings of International Workshop on the Physics of Blown Sand, Aarhus, May 28-31, 1985 (Vol. 3, pp. 609-632). Aarhus Universitet.

Dalgaard, T. S., Vitved, L., Skjødt, K., Thomsen, B., Labouriau, R., Jensen, K. H. & Juul-Madsen, H. R. (2004). cDNA cloning and sequencing of MHC class I mRNA transcripts (1.5 kb variant) from B21 and B19 chickens using 3' RACE 5 kb variant) from B21 and B19 chickens using 3' RACE. In Proc. 8th Avian Immunology Research Group Meeting (pp. 75-75)

Dalgaard, T., Vitved, L., Skjoedt, K., Thomsen, B., Labouriau, R., Jensen, K. H. & Juul-Madsen, H. R. (2004). Molecular characterization of MHC class I (B-F) mRNA variants from chickens differing in resistance to Marek's disease: Gene bank accession no. AY821520. Dataset

Dalgaard, T. S., Vitved, L., Skjødt, K., Thomsen, B., Labouriau, R., Jensen, K. H. & Juul-Madsen, H. R. (2005). Molecular characterization of Major Histocompatibility Complex class I (B-F) mRNA variants from chickens differing in resistance to Marek's disease. Scandinavian Journal of Immunology, 62, 259-270. https://doi.org/10.1111/j.1365-3083.2005.01652.x

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

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

Coupier, D. & Hirsch, C. (2018). Coalescence of Euclidean geodesics on the Poisson--Delaunay triangulation. Bernoulli, 24(4A), 2429-2460. https://doi.org/10.3150/17-BEJ943

Cordeiro, G. M., Labouriau, R. & Botter, D. A. (2019). An introduction to Bent Jørgensen's ideas. (pp. 1-26). ArXiv. http://arxiv.org/abs/1909.09155

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

Corcuera, J. M., Hedevang, E., Pakkanen, M. S. & Podolskij, M. (2013). Asymptotic theory for Brownian semi-stationary processes with application to turbulence. Stochastic Processes and Their Applications, 123(7), 2552-2574. https://doi.org/10.1016/j.spa.2013.03.011

Corcuera, J. M., Nualart, D. & Podolskij, M. (2014). Asymptotics of weighted random sums. Communications in Applied and Industrial Mathematics, 6(1), Article e-486. https://doi.org/10.1685/journal.caim.486

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

Coelho Goncalves de Abreu, G. & Labouriau, R. S. (2010). Characterization of differentially expressed genes using high-dimensional co-expression networks. ArXiv. http://arxiv.org/abs/1011.3805

Madsen, T., Nielsen, M. M., Pedersen, J. S., PCAWG Evolution and Heterogeneity Working Group & PCAWG Consortium (2020). Inferring structural variant cancer cell fraction. Nature Communications, 11(1), Article 730. https://doi.org/10.1038/s41467-020-14351-8

Clark, C., Ely, J., Spagnolo, M., Hahn, U., Stokes, C. & Hughes, A. (2016). Regular patterns in subglacial bedforms demonstrate emergent field behaviour. Geophysical Research Abstracts, 18, 1389. Article EGU2016-1389-1. http://meetingorganizer.copernicus.org/EGU2016/EGU2016-1389-1.pdf

Clark, C. D., Ely, J., Spagnolo, M., Hahn, U., Hughes, A. & Stokes, C. (2018). Spatial organization of drumlins. Earth Surface Processes and Landforms, 43(2), 499-513. https://doi.org/10.1002/esp.4192

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

Christiansen, N. H., Sørensen, P., Labouriau, R., Christensen, B. T. & Rubæk, G. H. (2020). Characterizing phosphorus availability in waste products by chemical extractions and plant uptake. Journal of Plant Nutrition and Soil Science, 183(4), 416-428. https://doi.org/10.1002/jpln.202000015

Christiansen, M. C., Hirsch, C. & Schmidt, V. (2014). Prediction of regionalized car insurance risks based on control variates. Statistics Risk Modeling, 31(2), 163-181.

Christensen, O. F., Hobolth, A. & Jensen, J. L. (2005). Pseudo-likelihood analysis of codon substitution models with neighbor dependent rates. Journal of Computational Biology, 12, 1166-1182.

Christensen, O. F., Hobolth, A. & Jensen, J. L. (2004). Pseudo-likelihood analysis of context-dependent codon substitution models. (pp. A-59).

Christensen, O. F., Frydenberg, M., Jensen, J. L. & Pedersen, J. G. (2005). Tests and Confidence Intervals for an Extended Variance Component Using the Modified Likelihood Ratio Statistic.

Christensen, O. F., Frydenberg, M., Jensen, J. L. & Pedersen, J. G. (2007). Tests and confidence intervals for an extended variance component using the modified likelihood ratio statistic. Scandinavian Journal of Statistics, 34(2), 347-364. https://doi.org/10.1111/j.1467-9469.2006.00520.x

Christensen, K., Podolskij, M. & Vetter, M. (2009). Bias-correcting the realised range-based variance in the presence of market microstructure noise. Finance and Stochastics, 13(2), 239-268. https://doi.org/10.1007/s00780-009-0089-9

Christensen, K. & Podolskij, M. (2007). Realized range-based estimation of integrated variance. Journal of Econometrics, 141(2), 323-349. https://doi.org/10.1016/j.jeconom.2006.06.012

Displaying results 751 to 800 out of 1336

Revised 10.06.2026

Lars Madsen