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Feliu, E., Knudsen, M., Wiuf, C. H. & Andersen, L. N. (2010). An Algebraic Approach to Signaling Cascades with n Layers. Poster session presented at The 11th International Conference on Systems Biology, Edinburgh, United Kingdom.

Feliu, E., Knudsen, M., Andersen, L. N. & Wiuf, C. H. (2011). An Algebraic Approach to Signaling Cascades with n Layers. Bulletin of Mathematical Biology, 74(1), 45-72. https://doi.org/10.1007/s11538-011-9658-0

Exarchakos, G., van der Hofstad, R., Nagy, O. & Pandey, M. (2026). Bringing order to network centrality measures. (pp. 1-24). ArXiv. https://arxiv.org/abs/2601.16236

Ernst, P., Asmussen, S. & Hasenbein, J. (2018). Stability and busy periods in a multiclass queue with state-dependent arrival rates. Queueing Systems, 90(3-4), 207-224. https://doi.org/10.1007/s11134-018-9587-9

Eriksen, R. & Kiderlen, M. (2020). Uniqueness of the measurement function in Crofton's formula. Advances in Applied Mathematics, 116, Article 102004. https://doi.org/10.1016/j.aam.2020.102004

Eriksen, R. K. & Kiderlen, M. (2023). Reconstructing Planar Ellipses from Translation-Invariant Minkowski Tensors of Rank Two. Discrete & Computational Geometry, 69(4), 1095-1120. https://doi.org/10.1007/s00454-022-00470-0

Eriksen, R. K. & Kiderlen, M. (2023). Mean Surface and Volume Particle Tensors under Restricted L-isotropy and Associated Ellipsoids. Advances in Geometry, 23(2).

Engsner, H., Lindskog, F. & Thøgersen, J. (2023). Multiple-prior valuation of cash flows subject to capital requirements. Insurance: Mathematics and Economics, 111, 41-56. https://doi.org/10.1016/j.insmatheco.2023.02.007

Engholm, R., Karstoft, H. & Jensen, E. B. V. (2009). Adaptive kernel filtering used in video processing. In Visual Communications and Image Processing 2009 (pp. 72571E). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.808155

Embrechts, P., Jensen, J. L., Maejima, M. & Teugels, J. L. (1985). Approximations for compound Poisson and Pólya processes. Advances in Applied Probability, 17(3), 623-637. https://doi.org/10.2307/1427123

Elmholt, S., Labouriau, R., Hestbjerg, H. & Nielsen, J. M. (1999). Detection and estimation of conidial abundance of Penicil-lium verrucosum in soil by dilution plating on a selective and diagnostic agar medium (DYSG). Mycological Research, 103, 887-895.

Elmholt, S. & Labouriau, R. (2005). Fungi in Danish soils under organic and conventional farming. Agriculture, Ecosystems and Environment, 107, 65-73.

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Large-scale study on effects of metritis on reproduction in Danish Holstein cows. Journal of Dairy Science, 96(1), 372-377. https://doi.org/10.3168/jds.2012-5584

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Practical use of a uterine score system for predicting effects on interval from calving to first insemination and non-return rate 56 in Danish dairy herds. Veterinary Journal, 198(3), 644-648. https://doi.org/10.1016/j.tvjl.2013.09.022

Egendal, I., Brøndum, R. F., Pelizzola, M., Hobolth, A. & Bøgsted, M. (2025). On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction. Journal of computational biology : a journal of computational molecular cell biology, 32(5), 461-472. https://doi.org/10.1089/cmb.2024.0784

Egefjord, L., Jensen, J., Bang-Berthelsen, C., Petersen, A. B., Smidt, K., Schmitz, O., Karlsen, A. E., Pociot, F., Chimienti, F., Rungby, J. & Magnusson, N. (2009). Zinc transporter gene expression is regulated by pro-inflammatory cytokines: a potential role for zinc transporters in beta-cell apoptosis? B M C Endocrine Disorders, 9(1), 7. https://doi.org/10.1186/1472-6823-9-7

Edwards, D., Abreu, G. & Labouriau, R. (2010). Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests. BMC Bioinformatics, 11(1). https://doi.org/10.1186/1471-2105-11-18

Dvorak, J. & Jensen, E. B. V. (2013). On semiautomatic estimation of surface area. Journal of Microscopy, 250(2), 142-157. https://doi.org/10.1111/jmi.12030

Dutheil, J., Ganapathy, G., Hobolth, A., Mailund, T., Uyenoyama, M. & Schierup, M. H. (2009). Ancestral population genomics: the coalescent hidden Markov model approach. Genetics, 183(1), 259–274. https://doi.org/10.1534/genetics.109.103010

Duembgen, M. & Podolskij, M. (2015). High-frequency asymptotics for path-dependent functionals of Ito semimartingales. Stochastic Processes and Their Applications, 125(4), 1195-1217. https://doi.org/10.1016/j.spa.2014.08.007

Duan, Y.-F., Kong, X., Schramm, A., Labouriau, R., Eriksen, J. & Petersen, S. O. (2017). Microbial N Transformations and N2O Emission after Simulated Grassland Cultivation: Effects of the Nitrification Inhibitor 3,4-Dimethylpyrazole Phosphate (DMPP). Applied and Environmental Microbiology, 83(1), Article e02019-16. https://doi.org/10.1128/AEM.02019-16

Duan, Y.-F., Hallin, S., Jones, C. M., Prieme, A., Labouriau, R. & Petersen, S. O. (2018). Catch Crop Residues Stimulate N2O Emissions During Spring, Without Affecting the Genetic Potential for Nitrite and N2O Reduction. Frontiers in Microbiology, 9(NOV), Article 2629. https://doi.org/10.3389/fmicb.2018.02629

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.

Dörnemann, N. (2025). Two-Sample Covariance Inference in High-Dimensional Elliptical Models.

Dörnemann, N. & Lopes, M. E. (2025). Tracy-Widom, Gaussian, and Bootstrap: Approximations for Leading Eigenvalues in High-Dimensional PCA.

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). 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). https://doi.org/10.1214/25-EJS2385

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.

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Lars Madsen