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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

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, 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

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

Cázares, J. G. & Ivanovs, J. (2021). Recovering Brownian and jump parts from high-frequency observations of a Lévy process. Bernoulli, 27(4), 2413-2436. https://doi.org/10.3150/20-BEJ1314

Carlevaro-Fita, J., Lanzós, A., Feuerbach, L., Hong, C., Mas-Ponte, D., Pedersen, J. S., PCAWG Drivers and Functional Interpretation Group, Johnson, R. & PCAWG Consortium (2020). Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Communications Biology, 3(1), Article 56. https://doi.org/10.1038/s42003-019-0741-7

Campi, S., Gardner, R., Gronchi, P. & Kiderlen, M. (2012). Lightness functions. Advances in Mathematics, 231(6), 3118 - 3146. https://doi.org/10.1016/j.aim.2012.08.015

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

Buitenhuis, A. J., Lund, M. S., Petersen, A. H., Madsen, L. B., Panitz, F., Labouriau, R. & Bendixen, C. (2004). Comparison of methods for QTL detection for body weight in pigs: single time point versus longitudinal analyses. In Proc. 9th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (pp. 27)

Buitenhuis, A. J., Petersen, A. H., Buitenhuis, B., Lund, M. S., Høj, A., Madsen, L. B., Panitz, F., Labouriau, R. & Bendixen, C. (2004). Comparing body weight measured as single time points versus modelled as a longitudinal trait for QTL detection in pigs. In Book of Abstracts (pp. 301)

Buitenhuis, A. J., Kjaer, J. B., Labouriau, R. & Juul-Madsen, H. R. (2006). Altered Circulating Levels of Serotonin and Immunological Changes in Laying Hens Divergently Selected for Feather Pecking Behavior. Poultry Science, 85(10), 1722-1728. http://ps.fass.org/cgi/content/full/85/10/1722

Buitenhuis, A. J., Gregersen, V. R., Labouriau, R., Høj, A., Vingborg, R. & Lund, M. S. (2006). Confirmation study of QTL for body weight in pigs. In Book of abstracts: CD communication 13-07, 4 pp (pp. 142). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/13_505-1498.pdf

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

Borup, K. & Andersen, L. N. (2023). Self-Distillation for Gaussian Process Models. https://arxiv.org/pdf/2304.02641.pdf

Bonnet, G., Hirsch, C., Rosen, D. & Willhalm, D. (2023). Limit theory of sparse random geometric graphs in high dimensions. Stochastic Processes and Their Applications, 163, 203-236. https://doi.org/10.1016/j.spa.2023.06.002

Boldsen, J. L., Jensen, J. L., Søgaard, J. & Sørensen, M. (1988). On the incubation time distribution and the Danish AIDS data. Journal of the Royal Statistical Society, Series A (Statistics in Society), 151, 42-43. http://www.jstor.org/stable/2982183

Błaszczyszyn, B. & Hirsch, C. (2021). Optimal stationary markings. Stochastic Processes and Their Applications, 138, 153-185. https://doi.org/10.1016/j.spa.2021.04.003

Blæsild, P. & Granfeldt, J. (2003). Statistics with Applications in Biology and Geology. Chapman /.

Blæsild, P. & Jensen, J. L. (1981). Multivariate distributions of hyperbolic type. In Statistical distributions in scientific work (Trieste, 1980) (Vol. 4, pp. 45-66). D. Reidel Publishing Group.

Blæsild, P. & Jensen, J. L. (1985). Saddlepoint formulas for reproductive exponential models. Scandinavian Journal of Statistics, 12(3), 193-202. http://www.jstor.org/stable/4615988

Bladt, M., Asmussen, S. & Steffensen, M. (2020). Matrix representations of life insurance payments. European Actuarial Journal, 10(1), 29-67. https://doi.org/10.1007/s13385-019-00222-0

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Revised 06.09.2024

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Lars Madsen