Publications

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Podolskij, M., Schmidt, C. & Ziegel, J. (2014). Limit theorems for nondegenerate U-statistics of continuous semimartingales. Annals of Applied Probability, 24(6), 2491-2526. https://doi.org/10.1214/13-AAP983

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

Podolskij, M. & Rosenbaum, M. (2012). Testing the local volatility assumption: A statistical approach. Annals of Finance, 8(1), 31-48. https://doi.org/10.1007/s10436-011-0180-z

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

Podolskij, M. (2010). Semimartingales. I R. Cont (red.), Encyclopedia of Quantitative Finance John Wiley.

Podolskij, M., Schmidt, C. & Vetter, M. (2015). On U- and V-statistics for discontinuous Itô semimartingale. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-52

Podolskij, M. & Thamrongrat, N. (2015). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-53

Podolskij, M., Veliyev, B. & Yoshida, N. (2015). Edgeworth expansion for the pre-averaging estimator. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-60

Podolskij, M. & Thamrongrat, N. (2016). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. I F. E. Benth & G. Di Nunno (red.), Stochastics of Environmental and Financial Economics (s. 101-120). Springer. https://doi.org/10.1007/978-3-319-23425-0_4

Podolskij, M., Stelzer, R., Thorbjørnsen, S. & Veraart, A. (red.) (2016). The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen. Springer. https://doi.org/10.1007/978-3-319-25826-3

Podolskij, M., Schmidt, C. & Vetter, M. (2017). On U- and V-statistics for discontinuous Ito semimartingales. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 53(3), 1007-1050. https://doi.org/10.1214/16-AIHP744

Podolskij, M. & Basse-O'Connor, A. (2017). On critical cases in limit theory for stationary increments Levy driven moving averages. Stochastics: An International Journal of Probability and Stochastic Processes , 89(1), 360-383. https://doi.org/10.1080/17442508.2016.1191493

Podolskij, M. & Lebovits, J. (2017). Estimation of the global regularity of a multifractional Brownian motion. Electronic Journal of Statistics, 11(1), 78-98. https://doi.org/10.1214/16-EJS1221

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 Nr. 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. (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

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

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, Artikel 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), Artikel 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

Pelizzola, M., Behr, M., Li, H., Munk, A. & Futschik, A. (2021). Multiple haplotype reconstruction from allele frequency data. Nature Computational Science, 1(4), 262-271. https://doi.org/10.1038/s43588-021-00056-5

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.

Pelck, J. S., Holthusen, H., Edelenbos, M., Luca, A. & Labouriau, R. (2021). Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models.

Pelck, J. S. & Labouriau, R. (2021). Conditional Inference for Multivariate Generalised Linear Mixed Models. arXiv:stat.ME. https://arxiv.org/abs/2107.11765

Pelck, J. S. & Labouriau, R. (2021). Multivariate Generalised Linear Mixed Models With Graphical Latent Covariance Structure. arXiv:stat.ME.

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. I N. M. Chuong, L. Nirenberg & W. Tutschke (red.), Abstract and applied analysis: proceedings of the International Conference held in Hanoi, August 17-21, 2002 (s. 499-513). World Scientific.

Pedersen, J. & Sauri, O. (2015). On Lévy semistationary processes with a gamma kernel. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 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, Artikel 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 fra EGU General Assembly 2023, Vienna, Østrig. 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 fra RAMIRAN, Cambridge, Storbritannien.

Pedersen, J., Labouriau, R. & Feilberg, A. (2024). Effect of separation and air-plasma technology on NH3 emissions from field applied biogas digestate and pig slurry to grassland. 53. Abstract fra N Workshop, Aarhus, Danmark. https://conferences.au.dk/fileadmin/conferences/2024/nworkshop/Book_of_abstracts_NW2024.pdf

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

Pedersen, J., Labouriau, R. & Feilberg, A. (2024). Effect of slurry separation and air-plasma treatment on NH₃ and VOC emissions from field applied biogas digestate and pig slurry to grassland. Biosystems Engineering, 247, 257-266. https://doi.org/10.1016/j.biosystemseng.2024.09.014

Pedersen, J., Hafner, S. D., Romio, C., Pacholski, A. S. & Labouriau, R. (2025). Effect of digestate and untreated slurry properties on ammonia emission from field application. Abstract fra RAMIRAN 2025, Wageningen, Holland.

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

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Revideret 06.01.2026

Lars Madsen