Publications

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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., 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

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 University.

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

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

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

Christensen, K., Kinnebrock, S. & Podolskij, M. (2010). Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data. Journal of Econometrics, 159(1), 116-133. https://doi.org/10.1016/j.jeconom.2010.05.001

Christensen, P., Labouriau, R., Birck, A., Boe-Hansen, G. B., Pedersen, J. & Borchersen, S. (2011). Relationship among seminal quality measures and field fertiligy of young dairy bulls using low-dose inseminations. Journal of Dairy Science, 94, 1744-1754.

Christensen, K. & Podolskij, M. (2012). Asymptotic theory of range-based multipower variation. Journal of Financial Econometrics, 10(3), 417-456. https://doi.org/10.1093/jjfinec/nbr019

Christensen, T., Andersen, K. A. & Klose, A. (2013). Solving the Single-Sink, Fixed-Charge, Multiple-Choice Transportation Problem by Dynamic Programming. Transportation Science, 47(3), 428-438. https://doi.org/10.1287/trsc.1120.0431

Christensen, K., Podolskij, M. & Vetter, M. (2013). On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes. Journal of Multivariate Analysis, 120, 59-84. https://doi.org/10.1016/j.jmva.2013.05.002

Christensen, K., Oomen, R. & Podolskij, M. (2014). Fact or friction: Jumps at ultra high frequency. Journal of Financial Economics, 114(3), 576-599. https://doi.org/10.1016/j.jfineco.2014.07.007

Christensen, S. T. & Kiderlen, M. (2016). Poster: Comparison of two global digital algorithms for Minkowski tensor estimation. Poster session presented at AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Denmark.

Christensen, S. T. & Kiderlen, M. (2016). Comparison of two global digital algorithms for Minkowski tensor estimation. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/10 http://math.au.dk/publs?publid=1074

Christensen, K., Podolskij, M., Thamrongrat, N. & Veliyev, B. (2017). Inference from high-frequency data: A subsampling approach. Journal of Econometrics, 197(2), 245–272. https://doi.org/10.1016/j.jeconom.2016.07.010

Christensen, J. T., Azeez, M. O., Munkholm, L. J., Kristensen, H. L., Labouriau, R. & Rubæk, G. H. (2017). Growth of barley roots in a sandy soil after 74 years of contrasting applications of lime and superphosphate. Abstract from XVIII International Plant Nutrition Colloquium, Copenhagen, Denmark.

Christensen, K., Hounyo, U. & Podolskij, M. (2018). Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment. Journal of Econometrics, 205(2), 336-362. https://doi.org/10.1016/j.jeconom.2018.03.016

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

Christensen, J. T., Azeez, M. O., Labouriau, R., Ravnskov, S., Kristensen, H. L., Munkholm, L. J. & Rubæk, G. H. (2022). Effects of long-term contrasting lime and phosphorus applications on barley grain yield, root growth and abundance of mycorrhiza. Soil Use and Management, 38(1), 991-1003. https://doi.org/10.1111/sum.12750

Christensen, S. & Strauch, C. (2019). Nonparametric learning for impulse control problems. https://arxiv.org/abs/1909.09528

Christensen, K., Nielsen, M. S. & Podolskij, M. (2023). High-dimensional estimation of quadratic variation based on penalized realized variance. Statistical Inference for Stochastic Processes, 26(2), 331-359. https://doi.org/10.1007/s11203-022-09282-8

Christensen, S., Strauch, C. & Trottner, L. (2024). Learning to reflect: A unifying approach for data-driven stochastic control strategies. Bernoulli, 30(3), 2074-2101. https://doi.org/10.3150/23-BEJ1665

Christensen, S., Thomsen, A. H. & Trottner, L. (2024). Data-driven rules for multidimensional reflection problems. SIAM-ASA Journal on Uncertainty Quantification, 12(4), 1240-1272. https://doi.org/10.48550/arXiv.2311.06639, https://doi.org/10.1137/23M1618570

Chenavier, N. & Hirsch, C. (2022). Extremal lifetimes of persistent cycles. Extremes, 25(2), 299-330. https://doi.org/10.1007/s10687-021-00430-6

Chen, H., Pelizzola, M. & Futschik, A. (2023). Haplotype based testing for a better understanding of the selective architecture. BMC Bioinformatics, 24(1), Article 322. https://doi.org/10.1186/s12859-023-05437-3

Chen, L., Coulhon, T., Feneuil, J. & Russ, E. (2017). Riesz Transform for 1 ≤ p≤ 2 Without Gaussian Heat Kernel Bound. Journal of Geometric Analysis, 27(2), 1489-1514. https://doi.org/10.1007/s12220-016-9728-5

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Revised 06.01.2026

Lars Madsen