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Ziegel, J. & Kiderlen, M. (2010). Stereological estimation of surface area from digital images. Image Analysis and Stereology, 29, 99-110. http://www.wise-t.com/ias/article.php?id=265&year=2010&issue=6

Hobolth, A. & Jensen, J. L. (2010). Summary statistics for end-point conditioned continuous-time Markov chains. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Koets, A., Santema, W., Oostenriik, D., Keestra, M., Mertens, H., Overdijk, M., Labouriau, R., Franken, P., Frijters, A., Nielsen, M. & Rutten, V. (2010). Susceptibility to paratuberculosis infection in cattle is associated withsingle nucleotide polymorphisms in Toll-like receptor 2 which modulate immune responses against Mycobacterium avium subspecies paratuberculosis. Preventive Veterinary Medicine, 93(4), 305-315. https://doi.org/10.1016/j.prevetmed.2009.11.008

Ziegel, J., Baddeley, A., Dorph-Petersen, K.-A. & Jensen, E. B. V. (2010). Systematic sampling with errors in sample locations. Biometrika, 97(1), 1-13. https://doi.org/10.1093/biomet/asp067

Basse-O'Connor, A. (2010). The dynamics of stochastic processes. Department of Mathematical Sciences, Aarhus University.

Saffari, M., Asmussen, S. & Haji, R. (2010). The M/M/1 queue with inventory, lost sale and general lead times. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Podolskij, M. & Vetter, M. (2010). Understanding limit theorems for semimartingales: A short survey. Statistica Neerlandica, 64(3), 329-351. https://doi.org/10.1111/j.1467-9574.2010.00460.x

Andersen, K. & Weismantel, R. (2010). Zero-coefficient cuts. In F. Eisenbrand & F. B. Shepherd (Eds.), 14th International IPCO Conference, Proceedings (pp. 57-70). Springer. https://doi.org/10.1007/978-3-642-13036-6_5

Engholm, R., Karstoft, H. & Jensen, E. B. V. (2009). Adaptive kernel filtering used in video processing. Proceedings of SPIE, the International Society for Optical Engineering, 72571E. https://doi.org/10.1117/12.808155

Abreu, G. C. G., Labouriau, R. & Buitenhuis, A. J. (2009). Altered gene co-ecpression profile in extreme feather-pecking behaviour. Poster session presented at Annual Meeting of of the European Association for Animal Production, EAAP, Barcelona, Spain.

Abreu, G. C. G., Labouriau, R. & Buitenhuis, A. J. (2009). Altered gene co-expression profile in extreme feather-pecking behaviour. EAAP Book of Abstracts, 287. http://www.wageningenacademic.com/_clientfiles/EAAP/eaap2009-e.pdf

Greilich, S., Grzanka, L., Hahn, U., Kiderlen, M., Bassler, N., Andersen, C. E. & Jäkel, O. (2009). Amorphous track models: a numerical comparison study. Poster session presented at Neutron and Ion Dosimetry Symposium (NEUDOS-11), Cape Town, South Africa.

Labouriau, R., Kjaer, J. B., Abreu, G. C. G., Hedegaard, J. & Buitenhuis, A. J. (2009). Analysis of severe feather pecking behavior in a high feather pecking selection line. Poultry Science, 88, 2052-2062. https://doi.org/10.3382/ps.2009-00113

Görtz, S. & Klose, A. (2009). Analysis of some greedy algorithms for the single-sink fixed-charge transportation problem. Journal of Heuristics, 15(4), 331-349. https://doi.org/10.1007/s10732-007-9065-8

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

Gardner, R. & Kiderlen, M. (2009). A new algorithm for 3D reconstruction from support functions. I E E E Transactions on Pattern Analysis and Machine Intelligence, 31(3), 556-562. https://doi.org/10.1109/TPAMI.2008.190

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

Görtz, S. & Klose, A. (2009). A subgradient-based branch-and-bound algorithm for the capacitated facility location problem. Department of Mathematical Sciences, Aarhus University. http://www.imf.au.dk/publs?id=702

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

Podolskij, M. & Vetter, M. (2009). Bipower-type estimation in a noisy diffusion setting. Stochastic Processes and Their Applications, 119(9), 2803-2831. https://doi.org/10.1016/j.spa.2009.02.006

Barndorff-Nielsen, O. E., Corcuera, J. M., Podolskij, M. & Woerner, J. H. C. (2009). Bipower variation for Gaussian processes with stationary increments. Journal of Applied Probability, 46(1), 132-150. https://doi.org/10.1239/jap/1238592121

Østergaard, M., Ernst, A., Labouriau, R. S., Dagiliené, E., Krarup, H. B., Christensen, M., Thorsgaard, N., Jacobsen, B. A., Tage-Jensen, U., Overvad, K., Autrup, H. & Andersen, V. (2009). Cyclooxygenase-2, multidrug resistance 1, and breast cancer resistance protein gene polymorphisms and inflammatory bowel disease in the Danish population. Scandinavian Journal of Gastroenterology, 44(1), 65-73. https://doi.org/10.1080/00365520802400826

Birck, A., Labouriau, R. & Christensen, P. (2009). Dynamics of the induced acrosome reaction in boar sperm evaluated by flow cytometry. Animal Reproduction Science, 115(1-4), 124-136. https://doi.org/10.1016/j.anireprosci.2008.10.017

Kiderlen, M. & Meschenmoser, D. (2009). Error bounds for surface area estimators based on Crofton's formula. Image Analysis and Stereology, 28, 165-177. http://www.wise-t.com/ias/article.php?id=250&year=2009&issue=11

Podolskij, M. & Vetter, M. (2009). Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps. Bernoulli, 15(3), 634-658. https://doi.org/10.3150/08-BEJ167

Hou, Y., Madsen, P., Labouriau, R., Zhang, Y., Lund, M. S. & Su, G. (2009). Genetic analysis of days from calving to first insemination and days open in Danish Holsteins using different models and censoring scenarios. Journal of Dairy Science, (92), 1229-1239. https://doi.org/10.3168/jds.2008-1556

Andersen, L. D., Ostenfeld, M. S., Bramsen, J. B., Silahtaroglu, A., Lamy, P., Ramanathan, R., Fristrup, N., Jensen, J. L., Andersen, C. L., Zieger, K., Kauppinen, S., Ulhøi, B. P., Kjems, J., Borre, M. & Ørntoft, T. F. (2009). Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro. Cancer Research, 69(11), 4851-60. https://doi.org/10.1158/0008-5472.CAN-08-4043

Abreu, G. C. G. D., Labouriau, R. & Edwards, D. (2009). High-dimensional Graphical Model Search with gRapHD R Package. arXiv. http://arxiv.org/abs/0909.1234

Asmussen, S. (2009). Importance sampling for failure probabilities in computing and data transmission. Journal of Applied Probability, 46(3), 768-790. https://doi.org/10.1239/jap/1253279851

Basse-O'Connor, A. & Pedersen, J. (2009). Lévy driven moving averages and semimartingales. Stochastic Processes and Their Applications, 119(9), 2970-2991. https://doi.org/10.1016/j.spa.2009.03.007

Andersen, L. N. & Asmussen, S. (2009). Local time asymptotics for centered Lévy processes with two-sided reflection. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Andersen, L. N. (2009). Loss Rates and Structural Properties of Reflected Stochastic Processes. Aarhus Universitetsforlag.

Jacod, J., Li, Y., Mykland, P. A., Podolskij, M. & Vetter, M. (2009). Microstructure noise in the continuous case: The pre-averaging approach. Stochastic Processes and Their Applications, 119(7), 2249-2276. https://doi.org/10.1016/j.spa.2008.11.004

Labouriau, R. & Madsen, P. (2009). Modelling censored discrete time data with a view towards applications in animal quantitative genetics. EAAP Book of Abstracts, 604. http://www.wageningenacademic.com/_clientfiles/EAAP/eaap2009-e.pdf

Labouriau, R. & Madsen, P. (2009). Modelling censored discrete time data with a view towards applications in animal quantitative genetics. Poster session presented at Annual Meeting of of the European Association for Animal Production, EAAP, Barcelona, Spain.

Andersen, K., Wagner, C. & Weismantel, R. (2009). On an analysis of the strength of mixed integer cutting planes from multiple simplex tableau rows. S I A M Journal on Optimization, 20/2, 967-982. https://doi.org/10.1137/080744360

Bieding, T., Görtz, S. & Klose, A. (2009). On line routing per mobile phone: a case on subsequent deliveries of newspapers. Lecture Notes in Economics and Mathematical Systems, 619, 29-51.

Pawlas, Z., Nyengaard, J. R. & Jensen, E. B. V. (2009). Particle sizes from sectional data. Biometrics, 65(1), 216-224. https://doi.org/10.1111/j.1541-0420.2008.01019.x

Barndorff-Nielsen, O. E., Corcuera, J. M. & Podolskij, M. (2009). Power variation for Gaussian processes with stationary increments. Stochastic Processes and Their Applications, 119(6), 1845-1865. https://doi.org/10.1016/j.spa.2008.09.004

Barndorff-Nielsen, O. E. & Pedersen, J. (2009). Representation and properties of a class of conditionally Gaussian processes. Alea: estudos neolatinos, 6, 179-197. http://alea.impa.br/articles/v6/06-08.pdf

Hobolth, A. & Stone, E. (2009). Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution. Annals of Applied Statistics, 3(3), 1204-1231. https://doi.org/10.1214/09-AOAS247

Basse-O'Connor, A. (2009). Spectral representation of Gaussian semimartingales. Journal of Theoretical Probability, 22(4), 811-826. https://doi.org/10.1007/s10959-009-0246-2

Andersen, L. N. & Mandjes, M. (2009). Structural properties of reflected Lévy processes. Queueing Systems, 63(1-4), 301-322. https://doi.org/10.1007/s11134-009-9116-y

Andersen, L. N. (2009). Subexponential loss rate asymptotics for Lévy processes. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

West, M. J., Bach, G., Søderman, A. & Jensen, J. L. (2009). Synaptic contact number and size in stratum radiatum CA1 of APP/PS1DeltaE9 transgenic mice. Neurobiology of Aging, 30(11), 1756-76. https://doi.org/10.1016/j.neurobiolaging.2008.01.009

Hobolth, A. & Wiuf, C. H. (2009). The genealogy, site frequency spectrum and ages of two nested mutant alleles. Theoretical Population Biology, 75(4), 260-265. https://doi.org/10.1016/j.tpb.2009.02.001

Stark, A. K., Gundersen, H. J. G., Gardi, J. E., Pakkenberg, B. & Hahn, U. (2009). The saucor, a new stereological tool for analysing the spatial distributions of cells, exempliﬁed by human neocortical neurons and glial cells. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

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

Sørensen, K. K., Kirk, H. G., Olsson, K., Labouriau, R. & Christiansen, J. (2008). A major QTL and an SSR marker associated with glycoalkaloid content in potato tubers from Solanum tuberosum × S. sparsipilum located at chromosome I. Theoretical and Applied Genetics, 117(1), 1-9. https://doi.org/10.1007/s00122-008-0745-z

Hobolth, A. (2008). A Markov chain Monte Carlo Expectation Maximization Algorithm for Statistical Analysis of DNA Sequence Evolution with Neighbor-Dependent Substitution Rates. Journal of Computational and Graphical Statistics, 17(1), 138-162.

Displaying results 601 to 650 out of 1130

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Revised 06.09.2024

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Lars Madsen