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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

Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2023). The Regularity Problem for Uniformly Elliptic Operators in Weighted Spaces. Potential Analysis, 58(3), 409-439. https://doi.org/10.1007/s11118-021-09945-w

Chen, L. (2015). Sub-Gaussian heat kernel estimates and quasi Riesz transforms for 1 ≤ p ≤ 2. Publicacions Matematiques, 59(2), 313-338. https://doi.org/10.5565/PUBLMAT_59215_03

Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2020). Conical square functions for degenerate elliptic operators. Advances in Calculus of Variations, 13(1), 75-113. https://doi.org/10.1515/acv-2016-0062

Chen, L., Coulhon, T. & Hua, B. (2020). Riesz transforms for bounded Laplacians on graphs. Mathematische Zeitschrift, 294(1-2), 397-417. https://doi.org/10.1007/s00209-019-02253-5

Chen, L. (2018). Hardy spaces on metric measure spaces with generalized sub-Gaussian heat kernel estimates. Journal of the Australian Mathematical Society, 104(2), 162-194. https://doi.org/10.1017/S144678871700012X

Chen, L. (2019). A note on Sobolev type inequalities on graphs with polynomial volume growth. ARCHIV DER MATHEMATIK, 113(3), 313-323. https://doi.org/10.1007/s00013-019-01329-2

Chen, L. & Zhao, J. (2012). Weyl transform and generalized spectrogram associated with quaternion Heisenberg group. Bulletin des Sciences Mathématiques, 136(2). https://doi.org/10.1016/j.bulsci.2011.12.002

Chen, Y., Huang, H., Huang, K., Roohi, M. & Tang, C. (2025). A selective chaos-driven encryption technique for protecting medical images. Physica Scripta, 100(1), Article 0152a3. https://doi.org/10.1088/1402-4896/ad9fad

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

Botnan, M. B. & Hirsch, C. (2024). On the consistency and asymptotic normality of multiparameter persistent Betti numbers. Journal of Applied and Computational Topology, 8(6), 1465-1502. https://doi.org/10.1007/s41468-022-00110-9

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

Bladt, M. & Ivanovs, J. (2021). Fluctuation theory for one-sided Lévy processes with a matrix-exponential time horizon. Stochastic Processes and Their Applications, 142, 105-123. https://doi.org/10.1016/j.spa.2021.08.002

Bisewski, K. & Ivanovs, J. (2020). Zooming-in on a lévy process: Failure to observe threshold exceedance over a dense grid. Electronic Journal of Probability, 25, Article 113. https://doi.org/10.1214/20-EJP513

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Lars Madsen