Publications

All data comes from articles registered in PURE.

Sort by: Date | Author | Title

Kiderlen, M. & Dorph-Petersen, K.-A. (2017). The Cavalieri estimator with unequal section spacing revisited. http://csgb.dk/publications/csgbrr/2017/

Kiderlen, M. & Rataj, J. (2017). Dilation volumes of sets of finite perimeter. http://csgb.dk/publications/csgbrr/2017/

Kiderlen, M. & Rataj, J. (2018). Dilation volumes of sets of finite perimeter. Advances in Applied Probability, 50(4), 1095-1118. https://doi.org/10.1017/apr.2018.52

Kiderlen, M. & Pausinger, F. (2021). Discrepancy of stratified samples from partitions of the unit cube. Monatshefte fur Mathematik, 195(2), 267-306. https://doi.org/10.1007/s00605-021-01538-4

Kiderlen, M. & Pausinger, F. (2022). On a partition with a lower expected L₂-discrepancy than classical jittered sampling. Journal of Complexity, 70, Article 101616. https://doi.org/10.1016/j.jco.2021.101616

Keller, K. K., Andersen, I. T., Andersen, J. B., Hahn, U., Stengaard-Pedersen, K., Hauge, E. M. & Nyengaard, J. R. (2013). Improving efficiency in stereology: a study applying the proportionator and the autodisector on virtual slides. Journal of Microscopy, 251(1), 68-76. https://doi.org/10.1111/jmi.12044

Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (pp. 559-563). IEEE. https://doi.org/10.1109/ISBI.2016.7493330

Kärkkäinen, S. & Jensen, E. B. V. (2001). Estimation of fibre orientation from digital images. Image Analysis and Stereology, 20(3), 199-202. https://doi.org/10.5566/ias.v20.p199-202

Karkkainen, S., Jensen, E. B. V. & Jeulin, D. (2002). On the orientational analysis of planar fibre systems from digital images. Journal of Microscopy, 207(1), 69-77.

Karkkainen, S. & Jensen, E. B. V. (2001). On the orientational analysis of Boolean fibres from digital images. Aarhus Universitet.

Karki, S., Kandel, T. P., Elsgaard, L., Labouriau, R. & Lærke, P. E. (2019). Annual CO2 fluxes from a cultivated fen with perennial grasses during two initial years of rewetting. Mires and Peat, 25, 1-22. Article 1. https://doi.org/10.19189/MaP.2017.DW.322

Kandel, T. P., Karki, S., Elsgaard, L., Labouriau, R. & Lærke, P. E. (2020). Methane fluxes from a rewetted agricultural fen during two initial years of paludiculture. Science of the Total Environment, 713, Article 136670. https://doi.org/10.1016/j.scitotenv.2020.136670

Kampf, J. & Kiderlen, M. (2011). Large parallel volumes of finite and compact sets in d-dimensional Euclidean space. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

Kaiser, C., Lazaridou, C., Jensen, K.-M. V., Labouriau, R. & Kristensen, M. (2019). Vitellogenin expression in the oilseed rape pest Meligethes aeneus. Insect Science, 26(2), 274-282. https://doi.org/10.1111/1744-7917.12539

Juul-Kristensen, T., Thiesen, C., Haurum, L. W., Keller-Socin, J. G., Lendamba, R. W., Zoleko Manego, R., Betouke, M. E., Knudsen, B. R., Pareja, E., Pareja-Tobes, E., Labouriau, R., Ghyslain, M.-N. & Tesauro, C. (2024). Non-Invasive Malaria Detection in Sub-Saharan Africa Using a DNA-Based Sensor System. Sensors, 24(24), Article 7947. https://doi.org/10.3390/s24247947

Juul, N., Labouriau, R., Mass, A. I. R., Marshall, L. F. & Sorensen, H. T. (2004). Association between Different Levels of ICP and CPP and One Year Mortality in Patients with Severe Head Injuries. Abstract from Association between Different Levels of ICP and CPP and One Year Mortality in Patients with Severe Head Injuries.

Juul, S., Nielsen, C. J. F., Labouriau, R., Roy, A., Tesauro, C., Jensen, P. W., Harmsen, C., Kristoffersen, E. L., Chiu, Y.-L., Hougaard, R. F., Fiorani, P., Cox-Singh, J., Tordrup, D. P., Koch, J. E., Bienvenu, A.-L., Desideri, A., Picot, S., Petersen, E., Leong, K. W. ... Knudsen, B. R. (2012). Droplet Microfluidics Platform for Highly Sensitive and Quantitative Detection of Malaria-Causing Plasmodium Parasites Based on Enzyme Activity Measurement. A C S Nano, 6(12), 10676-10683. https://doi.org/10.1021/nn3038594

Juul, M., Madsen, T., Guo, Q., Bertl, J., Hobolth, A., Kellis, M. & Pedersen, J. S. (2019). ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation. Bioinformatics, 35(2), 189-199. https://doi.org/10.1093/bioinformatics/bty511

Jörnsten, K. & Klose, A. (2016). An improved Lagrangian relaxation and dual ascent approach to facility location problems. Computational Management Science, 13(3), 317-348. https://doi.org/10.1007/s10287-015-0244-z

Jørgensen, B., Labouriau, R. & Lundbye-Christensen, S. (1996). Linear Growth curve analysis based on exponential dispersion models. Journal of the Royal Statistical Society, Series A (Statistics in Society), B 58(3), 573-592.

Jørgensen, B., Labouriau, R. & Lundbye-Christensen, S. (1994). Linear growth curve analysis based on exponential dispersion models.

Jørgensen, B. & Labouriau, R. (2000). Expoenetial Families and theoretical Inference.

Jørgensen, F. G., Hobolth, A., Hornshøj, H., Bendixen, C., Fredholm, M. & Schierup, M. H. (2005). Comparative analysis of protein coding sequences from Human, Mouse and the domesticated Pig. BMC Biology, 3(2). https://doi.org/10.1186/1741-7007-3-2

Jørgensen, B. & Labouriau, R. S. (1992). Exponential Families and Theoretical Inference. Springer. http://www.zentralblatt-math.org/zmath/en/search/?q=an:0968.62500&format=complete

Jørgensen, B. & Labouriau, R. S. (2012). Exponential Families and Theoretical Inference. (2 ed.) Springer.

Jørgensen, B. & Labouriau, R. S. (1992). Famílias exponenciais e inferência teórica. Instituto de Matemática Pura e Aplicada (IMPA).

Jørgensen, B., Labouriau, R., Lundbye-Christensen, S. & Institut for Elektroniske Systemer, Aalborg Universitetscenter (1991). Growth curve analysis based on exponential dispersion models. R / Aalborg Universitetscenter, Institut for Elektroniske Systemer.

Jørgensen, M. S., Labouriau, R. & Olesen, B. (2019). Seed size and burial depth influence Zostera marina L. (eelgrass) seed survival, seedling emergence and initial seedling biomass development. PLoS One, 14(4), Article e0215157. https://doi.org/10.1371/journal.pone.0215157

Jonsson, E. & Asmussen, S. (1994). A practical dependability measure for embedded computer systems. In G. C. Goodwin & R. J. Evans (Eds.), Automatic control: proceedings of the 12th Triennial World Congress of the International Federation of Automatic Control (pp. 647-652). Pergamon.

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2005). Gaussian radial growth. Image Anal. Stereol., 24, 117-126.

Jónsdóttir, K. Ý., Hoffmann, L., Hobolth, A. & Jensen, E. B. V. (2006). On error prediction in circular systematic sampling. Journal of Microscopy, 222(3), 212-216. https://doi.org/10.1111/j.1365-2818.2006.01589.x

Jónsdóttir, K. Ý., Schmiegel, J. & Jensen, E. B. V. (2008). Lévy-based growth models. Bernoulli, 14(1), 62-90. https://doi.org/10.3150/07-BEJ6130

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2004). Gaussian radial growth. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Jónsdóttir, K. Ý., Rønn-Nielsen, A., Mouridsen, K. & Jensen, E. B. V. (2013). Lévy-based modelling in brain imaging. Scandinavian Journal of Statistics, 40(3), 511-529. https://doi.org/10.1002/sjos.12000

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2013). Lévy-based error prediction in circular systematic sampling. Image Analysis and Stereology, 32(2), 117-125. https://doi.org/10.5566/ias.v32.p117-125

Jonsdottir, K. Y., Hahn, U. & Jensen, E. B. V. (2004). Inhomogeneous spatial point processes, with a view to spatio-temporal modelling. In A. Baddeley, P. Gregori, J. Mateu, R. Stoica & D. Stoyan (Eds.), Spatial point process modelling and its applications (pp. 131-136). Publicacions de la Universitat Jaume I.

Joergensen, M. W., Labouriau, R., Hindkjaer, J., Stougaard, M., Kolevraa, S., Bolund, L., Agerholm, I. E. & Sunde, L. (2015). The parental origin correlates with the karyotype of human embryos developing from tripronuclear zygotes. Clinical and Experimental Reproductive Medicine, 42(1), 14-21. https://doi.org/10.5653/cerm.2015.42.1.14

Jensen, U. B., Elmholt, S. & Labouriau, R. (2000). Distribution of Ergosterol in Organically and Conventionally Cultivated Agricultural Soils. Biological Agriculture and Horticulture, 18, 113-125.

Jensen, E. B. V. & Kiderlen, M. (2003). Directional analysis of digitized planar sets by configuration counts. Journal of Microscopy, 212(2), 158-168. https://doi.org/10.1046/j.1365-2818.2003.01149.x

Jensen, E. B. V. & Nielsen, L. S. (2004). Statistical inference for transformation inhomogeneous point processes. Scandinavian Journal of Statistics, 31(1), 131-142. https://doi.org/10.1111/j.1467-9469.2004.00377.x

Jensen, E. B. V. & Nielsen, L. S. N. (2001). A review on inhomogeneous point processes. In I. V. Basawa, C. C. Heyde & R. L. Taylor (Eds.), Selected proceedings of the symposium on inference for stochastic processes (pp. 297-318). Institute of Mathematical Statistics.

Jensen, J. L. (2001). Poisson approximation to the distribution of rare events in DNA evolution. Department of Mathematical Sciences , University of Aarhus. http://math.au.dk/publs?publid=251

Jensen, J. L. & Hein, J. (2002). Gibbs sampler for statistical multiple alignment. Department of Mathematical Sciences , University of Aarhus.

Jensen, J. L. & Hobolth, A. (2003). Applications of hidden Markov models for comparative gene structure prediction. MaPhySto Resesearch Report, 35, 734-728.

Jensen, J. L. & Hein, J. (2005). Gibbs sampler for statistical multiple alignment. Statistica Sinica, 15(4), 889-907.

Jensen, J. L. & Hobolth, A. (2005). Applications of hidden Markov models for characterization of homologous DNA sequences with a common gene. Journal of Computational Biology, 12(2), 186-203.

Jensen, J. L., Lunter, G., Miklos, I., Drummond, A. & Hein, J. (2005). Bayesian coestimation of phylogeny and sequence alignment. BMC Bioinformatics, (6:83).

Jensen, J. L. & Hobolth, A. (2005). Statistical inference in evolutionary models of DNA sequences via the EM algorithm. Statistical Applications in Genetics and Molecular Biology, 4(1), article18.

Jensen, J. L. (2005). Context dependent DNA evolutionary models. Institut for Matematiske Fag, Aarhus Universitet.

Jensen, E. B. V., Jónsdóttir, K. Ý., Schmiegel, J. & Barndorff-Nielsen, O. E. (2007). Spatio-temporal modelling: with a view to biological growth. In B. Finkenstadt, L. Held & V. Isham (Eds.), Statistical methods for spatio-temporal systems (pp. 47-76). Chapman /.

Displaying results 401 to 450 out of 1351

Revised 10.06.2026

Lars Madsen