Publications

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Podolskij, M., Veliyev, B. & Yoshida, N. (2017). Edgeworth expansion for the pre-averaging estimator. Stochastic Processes and Their Applications, 127(11), 3558-3595 . https://doi.org/10.1016/j.spa.2017.03.001

Podolskij, M. & Rosenbaum, M. (2018). Comment on: Limit of Random Measures Associated with the Increments of a Brownian Semimartingale: Asymptotic behavior of local times related statistics for fractional Brownian motion. Journal of Financial Econometrics, 16(4), 588-598. https://doi.org/10.1093/jjfinec/nbx036

Podolskij, M., Veliyev, B. & Yoshida, N. (2018). Edgeworth expansion for Euler approximation of continuous diffusion processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2018-28

Podolskij, M., Veliyev, B. & Yoshida, N. (2020). Edgeworth expansion for Euler approximation of continuous diffusion processes. Annals of Applied Probability, 30(4), 1971-2003. https://doi.org/10.1214/19-AAP1549

Pimentel Maia, R., Madsen, P. & Labouriau, R. (2013). Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits. arXiv, 1-36. http://arxiv.org/abs/1303.0810

Pimentel Maia, R., Madsen, P. & Labouriau, R. (2014). Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits. Journal of Applied Statistics, 41(6), 1286-1306. https://doi.org/10.1080/02664763.2013.868416

Perry, D. & Asmussen, S. (1995). Rejection rules in the M/G/1 queue. Queueing Systems Theory Appl., 19(1-2), 105-130.

Penner, R., Andersen, E. S., Jensen, J. L., Kantcheva, A. K., Bublitz, M., Nissen, P., Rasmussen, A. M. H., Svane, K. L., Hammer, B., Rezazadegan, R., Nielsen, N. C., Nielsen, J. T. & Andersen, J. E. (2014). Hydrogen bond rotations as a uniform structural tool for analyzing protein architecture. Nature Communications, 5, Article 5803. https://doi.org/10.1038/ncomms6803

Pelizzola, M., Laursen, R. & Hobolth, A. (2023). Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization. BMC Bioinformatics, 24(1), Article 187. https://doi.org/10.1186/s12859-023-05304-1

Pelizzola, M., Tanderup, K., Chopra, S., Jürgenliemk-Schulz, I. M., Nout, R., Kirchheiner, K. & Spampinato, S. (2023). Co-occurrence of symptoms after radiochemotherapy in locally advanced cervix cancer patients: a cluster analysis. Acta oncologica (Stockholm, Sweden), 62(11), 1479-1487. https://doi.org/10.1080/0284186X.2023.2271252

Pelck, J. S. & Labouriau, R. (2020). Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations. ArXiv. https://arxiv.org/abs/2011.00546

Pelck, J. S., Maia, R. P., Pinheiro, H. P. & Labouriau, R. (2021). A Multivariate Methodology for Analysing Students' Performance Using Register Data. ArXiv.

Peerstrup Ahrendt, L., Labouriau, R., Malmkvist, J., Nicol, C. J. & Christensen, J. W. (2015). Development of a standard test to assess negative reinforcement learning in horses. Applied Animal Behaviour Science, 169, 38-42. https://doi.org/10.1016/j.applanim.2015.05.005

Pedersen, J. (2006). The class of distributions of periodic Ornstein-Uhlenbeck processes driven by Levy processes. Journal of Theoretical Probability, 18, 209-235.

Pedersen, A.-M. K. & Jensen, J. L. (2001). A dependent-rates model and an MCMC-based methodology for the maximum-likelihood analysis of sequences with overlapping reading frames. Molecular Biology and Evolution, 18, 763-776. http://mbe.oxfordjournals.org/cgi/content/full/18/5/763

Pedersen, J. (2002). Periodic Ornstein-Uhlenbeck processes driven by Levy processes. Journal of Applied Probability, 39, 748-763.

Pedersen, J. (2003). The Lévy-Itô decomposition of an independently scattered random measure. MaPhySto, University of Aarhus.

Pedersen, J. & Sato, K. (2003). Cone-parameter Convolution Semigroups and their Subordination. Tokyo Journal of Mathematics, 26(2), 503-525.

Pedersen, J. & Sato, K. (2004). Relations between cone-parameter Levy processes and convolution semigroups. J. Math. Soc. Japan, 56(2), 541-559.

Pedersen, J. & Sato, K. (2003). Semigroups and processes with parameter in a cone. MaPhySto, University of Aarhus.

Pedersen, J. & Sato, K. (2003). The class of distributions of periodic Ornstein-Uhlenbeck processes driven by Lévy processes. MaPhySto, University of Aarhus.

Pedersen, U. V., Svendsen, A., Blæsild, P. & Andersen, T. (2002). Lifetime measurement of the metastable B^- ion using an electrostatic ion storage ring. Journal of Physics B: Atomic, Molecular and Optical Physics, 35, 2811.

Pedersen, J. & Sato, K.-I. (2004). Semigroups and processes with parameter in a cone. In N. M. Chuong, L. Nirenberg & W. Tutschke (Eds.), Abstract and applied analysis: proceedings of the International Conference held in Hanoi, August 17-21, 2002 (pp. 499-513). World Scientific.

Pedersen, J. & Sauri, O. (2015). On Lévy semistationary processes with a gamma kernel. In R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (Eds.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (pp. 217-239). Springer. https://doi.org/10.1007/978-3-319-13984-5_11

Pedersen, J., Nyord, T., Feilberg, A. & Labouriau, R. (2021). Analysis of the effect of air temperature on ammonia emission from band application of slurry. Environmental Pollution, 282, Article 117055. https://doi.org/10.1016/j.envpol.2021.117055

Pedersen, J., Nyord, T., Feilberg, A., Labouriau, R., Hunt, D. & Bittman, S. (2021). Effect of reduced exposed surface area and enhanced infiltration on ammonia emission from untreated and separated cattle slurry. Biosystems Engineering, 211, 141-151. https://doi.org/10.1016/j.biosystemseng.2021.09.003

Pedersen, J., Hafner, S. D., Karlsson, V., Pacholski, A. S., Labouriau, R. & Kamp, J. N. (2023). Optimized design of flux chambers for online measurements of NH3 emission after field application of slurry with full-scale farm machinery. Abstract from EGU General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-12677

Pedersen, J., Romio, C., Labouriau, R., Pacholski, A. S. & Hafner, S. D. (2023). Mitigating ammonia emission from slurry digestate applied to winter wheat crops: effect of digestate composition, digestate treatment, and application technique. Abstract from RAMIRAN, Cambridge, United Kingdom.

Pedersen, J., Hafner, S. D., Pacholski, A. S., I. Karlsson, V., Rong, L., Labouriau, R. & Kamp, J. N. (2024). Evaluation of optimized flux chamber design for measurement of ammonia emission after field application of slurry with full-scale farm machinery. Atmospheric Measurement Techniques, 17(14), 4493–4505. https://doi.org/10.5194/amt-17-4493-2024

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

Pawlas, Z. & Jensen, E. B. V. (2006). Further results on variances of local stereological estimators. Image Analysis and Stereology, 25, 155-163. http://www.wise-t.com/ias/article.php?id=193&year=2006&issue=11

Paczkowska, M., Barenboim, J., Sintupisut, N., Fox, N. S., Zhu, H., Abd-Rabbo, D., Mee, M. W., Boutros, P. C., PCAWG Drivers and Functional Interpretation Working Group, Reimand, J. & PCAWG Consortium (2020). Integrative pathway enrichment analysis of multivariate omics data. Nature Communications, 11(1), Article 735. https://doi.org/10.1038/s41467-019-13983-9

Overgaard, M., Parner, E. T. & Pedersen, J. (2017). Asymptotic theory of generalized estimating equations based on jack-knife pseudo-observations. Annals of Statistics, 45(5), 1988-2015. https://doi.org/10.1214/16-AOS1516

Overgaard, M., Parner, E. T. & Pedersen, J. (2018). Estimating the variance in a pseudo-observation scheme with competing risks. Scandinavian Journal of Statistics, 45(4), 923-940. https://doi.org/10.1111/sjos.12328

Overgaard, M., Parner, E. T. & Pedersen, J. (2019). Pseudo-observations under covariate-dependent censoring. Journal of Statistical Planning and Inference, 202(September), 112-122. https://doi.org/10.1016/j.jspi.2019.02.003

Østergaard, M., Labouriau, R., Dagiliene, E., Ernst, A., Krarup, H., Overvad, K., Autrup, H. & Andersen, V. (2005). A role of multiple drug resistance gene single nucleotide polymorphisms 2677 and 3435 in inflammatory bowel disease? In Proc. Gut, 54 (Suppl VII) (pp. 168)

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

Olsen, M. & Andersen, L. N. (2018). Towards Asymptotically Optimal One-to-One PDP Algorithms for Capacity 2+ Vehicles. In Computational Logistics - 9th International Conference, ICCL 2018, Proceedings (pp. 268-278). Springer. https://link.springer.com/chapter/10.1007/978-3-030-00898-7_17

Olsen, M., Andersen, L. N. & Gross, A. (2023). An asymptotically optimal algorithm for online stacking. Mathematical Methods of Operations Research, 97(2), 161-178. https://doi.org/10.1007/s00186-022-00808-7

Ødegård, J., Madsen, P., Labouriau, R. S., Gjerde, B. & Meuwissen, T. H. E. (2011). A sequential threshold cure model for genetic analysis of time-to-event data. Journal of Animal Science, 89, 943-950. https://doi.org/10.2527/jas.2009-2701

Nourdin, I., Peccati, G. & Podolskij, M. (2011). Quantitative Breuer-Major theorems. Stochastic Processes and Their Applications, 121(4), 793-812. https://doi.org/10.1016/j.spa.2010.12.006

Niemann, T., Labouriau, R., Sorensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2003). Association between results of exercise testing and cardiovascular and all-cause mortality, and myocardial infarction: A population-based long-term follow-up study. In Proc. XIX Nordic Congress of Cardiology (pp. 70)

Niemann, T., Labouriau, R., Sorensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2003). Impact on prognosis of regional different referral for coronary angiography after exercise testing: A population-based follow-up study. In Proc. XIX Nordic Congress of Cardiology (pp. 40)

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Five-year cardiovascular and all-cause mortality, and myocardial infarction in all subjects referred for exercise testing in two Danish counties. Scandinavian Cardiovascular Journal, 38, 137-142. https://doi.org/10.1080/14017430410025774

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Prognostic impact of different regional referral practice for interventional investigation and coronary treatment after excerse testing: A populationbased 5-year follow-up study. Journal of Internal Medicine, 255(4), 478-485. https://doi.org/10.1111/j.1365-2796.2004.01307.x

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Prognostic impact of different regional referral practices for interventional investigation and coronary treatment after exercise testing: a population-based 5-year follow-up study. Journal of Internal Medicine, 255(4), 478-485.

Nielsen, V. H., Thirstrup, J. P., Anistoroael, R., Guldbrandtsen, B., Labouriau, R., Christensen, K. & Fredholm, M. (2012). Mapping QTL for Fur Quality Traits in Mink (Neovison vison). Poster session presented at Plant and Animal Genome XX Conference, San Diego, CA, United States.

Nielsen, M. M., Tataru, P., Madsen, T., Hobolth, A. & Pedersen, J. S. (2016). Motif discovery in ranked lists of sequences. (pp. 1-4). http://biorxiv.org/content/biorxiv/suppl/2016/01/11/035956.DC2/035956-1.pdf

Nielsen, S., Simonsen, S. & Hobolth, A. (2016). Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity? In M. Frith & C. Nørgaard Storm Pedersen (Eds.), Algorithms in Bioinformatics - 16th International Workshop, WABI 2016, Proceedings (Vol. 9838, pp. 234-245). Springer. http://link.springer.com/chapter/10.1007/978-3-319-43681-4_19/fulltext.html

Nielsen, M. M., Tataru, P., Madsen, T., Hobolth, A. & Pedersen, J. S. (2018). Regmex: A statistical tool for exploring motifs in ranked sequence lists from genomics experiments. Algorithms for Molecular Biology, 13(1), Article 17. https://doi.org/10.1186/s13015-018-0135-2

Displaying results 151 to 200 out of 1130

Revised 06.09.2024

Lars Madsen