Publications

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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), Artikel 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 fra 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 Statistics Society, B 58(3), 573-592.

Jørgensen, B., Labouriau, R. & Lundbye-Christensen, S. (1994). Linear growth curve analysis based on exponential dispersion models. Technical Report Nr. 140

Jørgensen, B. & Labouriau, R. (2000). Expoenetial Families and theoretical Inference. Technical Raport Nr. 2000-02

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. Monografías de Matemática Bind 52 Nr. Zbl 0968.62500 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 udg.) Springer. Monografías de Matemática Bind 52 Nr. Zbl 0968.62500

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. 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), Artikel e0215157. https://doi.org/10.1371/journal.pone.0215157

Jonsson, E. & Asmussen, S. (1994). A practical dependability measure for embedded computer systems. I G. C. Goodwin & R. J. Evans (red.), Automatic control: proceedings of the 12th Triennial World Congress of the International Federation of Automatic Control (s. 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. I A. Baddeley, P. Gregori, J. Mateu, R. Stoica & D. Stoyan (red.), Spatial point process modelling and its applications (s. 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. I I. V. Basawa, C. C. Heyde & R. L. Taylor (red.), Selected proceedings of the symposium on inference for stochastic processes (s. 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. Research Report Bind 422 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. Research Report Bind 458

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

Jensen, J. L. (2006). Maximum likelihood classifiers in microarray studies. Institut for Matematiske Fag, Aarhus Universitet. Research Report Bind 474

Jensen, J. L., Jensen, E. B. V. & Sørensen, M. (red.) (2000). Symposium in Honour of Ole E. Barndorff-Nielsen. Department of Mathematical Sciences , University of Aarhus. Memoirs Bind 16

Jensen, E. B. V. & Thorarinsdottir, T. L. (2007). A spatio-temporal model for functional Magnetic Resonance Imaging data: with a view to resting state networks. Scandinavian Journal of Statistics, 34(3), 587-614. https://doi.org/10.1111/j.1467-9469.2006.00554.x

Jensen, E. B. V. & Stoyan, D. (2003). Joseph Mecke: an appreciation. Advances in Applied Probability, 35(1), 1-3. https://doi.org/10.1239/aap/1046366095

Jensen, E. B. V., Prokesová, M. & Hellmund, G. (2007). Discussion of "Modern statistics for spatial point processes". Scandinavian Journal of Statistics, 34, 686-688. https://doi.org/10.1111/j.1467-9469.2007.00571.x

Jensen, E. B. V. & Rataj, J. (2008). A rotational integral formula for intrinsic volumes. Advances in Applied Mathematics, 41(4), 530-560. https://doi.org/10.1016/j.aam.2008.03.004

Jensen, J. L. (2009). A note on the linear memory Baum-Welch algorithm. Journal of Computational Biology, 16(9), 1209-1210. https://doi.org/10.1089/cmb.2008.0178

Jensen, J. L. (2010). On some problems in the article Efficient Likelihood Estimation in State Space Models by Cheng-Der Fuh [Ann. Statist. 34(2006) 2026-2068]. Annals of Statistics, 38(2), 1279-1281. https://doi.org/10.1214/09-AOS748A

Jensen, J. L. (2011). Asymptotic normality of M-estimators in nonhomogeneous hidden Markov models. Journal of Applied Probability, 48A(special volume), 295-306.

Jensen, J. L. (2011). Central limit theorem for functions of weakly dependent variables. Afhandling præsenteret på 58th World Statistics Congress, Dublin, Irland. http://isi2011.congressplanner.eu/pdfs/950532.pdf

Jensen, J. L. (2011). On a saddlepoint approximation to the Markov binomial distribution. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Jensen, J. L. & Pedersen, A.-M. K. (2000). Probabilistic models of DNA sequence evolution with context dependent rates of substitution. Advances in Applied Probability, 32(2), 499-517. https://doi.org/10.1239/aap/1013540176

Jensen, J. L. & Pedersen, J. (1999). Ornstein-Uhlenbeck type processes with non-normal distribution. Journal of Applied Probability, 36(2), 389-402. https://doi.org/10.1239/jap/1032374460

Jensen, J. L. & Petersen, N. V. (1999). Asymptotic normality of the maximum likelihood estimator in state space models. Annals of Statistics, 27(2), 514-535. https://doi.org/10.1214/aos/1018031205

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Revideret 06.01.2026

Lars Madsen