Publications

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Dorph-Petersen, K. A., Gundersen, H. J. & Jensen, E. B. V. (2000). Non-uniform systematic sampling in stereology. Journal of Microscopy, 200(Pt 2), 148-57. https://doi.org/10.1046/j.1365-2818.2000.00750.x

Dorph-Petersen, K.-A., Gundersen, H. J. G., Jensen, E. B. V. & Kiêu, K. (2001). Non-uniform systematic sampling for area estimation of planar objects. In C. Babu Rao, P. Kalyanasundaram, KK. Ray & B. Raj (Eds.), Image Analysis in Materials and Life Sciences (pp. 4-8)

Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2011). Imperfect systematic sampling. Assessing the effect of non-constant intersectional distance on the precision of the Cavalieri estimator. Abstract from The 13th International Congress for Stereology, Beijing, China.

Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2012). Systematic sampling with errors - the effect of a variable intersectional distance on stereological volume estimates. Abstract from 42nd annual meeting of the society for neuroscience, New Orleans, United States.

Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2016). Prediction of the variance of stereological volume estimates in systematic sampling with errors in sampling locations. Abstract from AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Denmark.

Dörnemann, N. & Dette, H. (2024). Linear spectral statistics of sequential sample covariance matrices. Annales de l'institut Henri Poincare (B) Probability and Statistics, 60(2), 946-970. https://doi.org/10.1214/22-AIHP1339

Dörnemann, N. & Dette, H. (2023). Fluctuations of the diagonal entries of a large sample precision matrix. Statistics and Probability Letters, 198, Article 109838. https://doi.org/10.1016/j.spl.2023.109838

Dörnemann, N. (2023). Likelihood ratio tests under model misspecification in high dimensions. Journal of Multivariate Analysis, 193, Article 105122. https://doi.org/10.1016/j.jmva.2022.105122

Dörnemann, N. & Heiny, J. (2022). Limiting spectral distribution for large sample correlation matrices.

Dörnemann, N. & Dette, H. (2023). A CLT for the difference of eigenvalue statistics of sample covariance matrices. https://doi.org/10.48550/arXiv.2306.09050

Dörnemann, N. & Paul, D. (2024). Detecting Spectral Breaks in Spiked Covariance Models.

Dörnemann, N. & Dette, H. (2024). Detecting Change Points of Covariance Matrices in High Dimensions.

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

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). Department of Theoretical Statistics, University of Aarhus.

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

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

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

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

Christensen, K., Oomen, R. & Podolskij, M. (2010). Realised quantile-based estimation of the integrated variance. Journal of Econometrics, 159(1), 74-98. https://doi.org/10.1016/j.jeconom.2010.04.008

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Revised 07.02.2025

Lars Madsen