Publications

Sort by: Date | Author | Title

Ivanovs, J. & Thøstesen, J. D. (2023). Lévy processes conditioned to stay in a half-space with applications to directional extremes. Modern Stochastics: Theory and Applications, 10(1), 59-75. https://doi.org/10.15559/22-VMSTA217

Ivanovs, J. & Yamazaki, K. (2024). A series expansion formula of the scale matrix with applications in CUSUM analysis. Stochastic Processes and Their Applications, 170, Article 104300. https://doi.org/10.1016/j.spa.2024.104300

Hvilsom, C., Qian, Y., Bataillon, T., Li, Y., Mailund, T., Sallé, B., Carlsen, F., Li, R., Zheng, H., Jiang, T., Jiang, H., Jin, X., Munch, K., Hobolth, A., Siegismund, H. R., Wang, J. & Schierup, M. H. (2012). Extensive X-linked adaptive evolution in central chimpanzees. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1106877109

Huschto, T., Podolskij, M. & Sager, S. (2019). The asymptotic error of chaos expansion approximations for stochastic differential equations. Modern Stochastics: Theory and Applications, 6(2), 145-165. https://doi.org/10.15559/19-VMSTA133

Hug, D., Kiderlen, M. & Svane, A. M. (2015). Voronoi-based estimation of Minkowski tensors from ﬁnite point samples. arxiv.org. CSGB Research Reports Vol. 2016/06 http://math.au.dk/publs?publid=1069

Hug, D., Kiderlen, M. & Svane, A. M. (2017). Voronoi-Based Estimation of Minkowski Tensors from Finite Point Samples. Discrete & Computational Geometry, 57(3), 545-570. https://doi.org/10.1007/s00454-016-9851-x

H. Rafati, A., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2015). Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 12 http://math.au.dk/publs?publid=1050

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

Hornshøj, H., Nielsen, M. M., Sinnott-Armstrong, N. A., Świtnicki, M. P., Juul, M., Madsen, T., Sallari, R., Kellis, M., Ørntoft, T., Hobolth, A. & Pedersen, J. S. (2018). Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival. npj Genomic Medicine, 3(1), 1. Article 40. https://doi.org/10.1038/s41525-017-0040-5

Holst, M. R., Jensen, L. G., Aaron, J., Login, F. H., Rajkumar, S., Hahn, U. & Nejsum, L. N. (2021). Regulated exocytosis: Renal Aquaporin-2 3D Vesicular Network Organization and Association with F-actin. American Journal of Physiology: Cell Physiology, 321(6), 1060-1069. https://doi.org/10.1152/ajpcell.00255.2021

Holmstrup, M., Lamandé, M., Torp, S. B., Labouriau, R., Greve, M. H. & Heckrath, G. (2011). Associations between soil texture, soil water characteristics and earthworm populations of grassland. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61, 583-592. https://doi.org/10.1080/09064710.2010.526629

Holmstrup, M., Sørensen, J. G., Overgaard, J., Bayley, M., Bindesbøl, A.-M. H., Slotsbo, S., Fisker, K. V., Maraldo, K., Waagner, D., Labouriau, R. & Asmund, G. (2011). Body metal concentrations and glycogen reserves in earthworms (Dendrobaena octaedra) from contaminated and uncontaminated forest soil. Environmental Pollution, 159(1), 190-197. https://doi.org/10.1016/j.envpol.2010.09.005

Hobolth, A. & Jensen, E. B. V. (2002). A note on design-based versus model-based variance estimation in stereology. Advances in Applied Probability, 34, 484-490. https://doi.org/10.1239/aap/1033662161

Hobolth, A. & Jensen, E. B. V. (2002). Stereological analysis of shape. Image Analysis and Stereology, 21(4), S23-S29. https://doi.org/10.5566/ias.v21.pS23-S29

Hobolth, A., Pedersen, J. & Jensen, E. B. V. (2002). A Deformable Template Model, with Special Reference to Elliptical Templates. Journal of Mathematical Imaging and Vision, 17(2), 131-137. https://doi.org/10.1023/A:1020681419750

Hobolth, A., Pedersen, J. & Jensen, E. B. V. (2003). A continuous parametric shape model. Annals of the Institute of Statistical Mathematics, 55(2), 227-242. https://doi.org/10.1007/BF02530496

Hobolth, A., Christensen, O. F., Mailund, T. & Schierup, M. H. (2007). Genomic Relationships and Speciation Times of Human, Chimpanzee and Gorilla inferred from a Coalescent Hidden Markov Model. Poster session presented at Beyond the HapMap, Boston, United States.

Hobolth, A., Christensen, O. F., Mailund, T. & Schierup, M. H. (2007). Genomic relationships and speciation times of human, chimpanzee and gorilla inferred from a coalescent hidden Markov model. P L o S Genetics, 3(2). https://doi.org/10.1371/journal.pgen.0030007

Hobolth, A., Uyenoyama, M. K. & Wiuf, C. (2008). Importance sampling for the infinite sites model. Statistical Applications in Genetics and Molecular Biology, 7(1). https://doi.org/10.2202/1544-6115.1400

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.

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

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

Hobolth, A., Dutheil, J., Hawks, J., Schierup, M. H. & Mailund, T. (2011). Incomplete lineage sorting patterns among human, chimpanzee and orangutan suggest recent orangutan speciation and widespread selection. Genome Research, 21(3), 349-356. https://doi.org/10.1101/gr.114751.110

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

Hobolth, A., Andersen, L. N. & Mailund, T. (2011). On computing the coalescence time density in an isolation-with-migration model with few samples. Genetics, 187, 1242-1243. https://doi.org/10.1534/genetics.110.124164

Hobolth, A. (2002). Statistical shape analysis of featureless objects. Department of Mathematical Sciences, Aarhus University.

Hobolth, A. & Jensen, J. L. (2011). Summary statistics for endpoint-conditioned continuous-time Markov chains. Journal of Applied Probability, 48(4), 911-924. https://doi.org/10.1239/jap/1324046009

Hobolth, A. (2012). Ancestral population genomics. In M. Anisimova (Ed.), Evolutionary Genomics: Statistical and Computational Methods (Vol. 856, pp. 293-313). Springer.

Hobolth, A. & Jensen, E. B. V. (2000). Modelling stochastic chances in curve shape, with an application to cancer diagnostics. Advances in Applied Probability, 32(2), 344-362. https://doi.org/10.1239/aap/1013540167

Hobolth, A. & Jensen, J. L. (2014). Markovian approximation to the finite loci coalescent with recombination along multiple sequences. Theoretical Population Biology, 98, 48-58. https://doi.org/10.1016/j.tpb.2014.01.002

Hobolth, A. & Jeff, T. (2014). Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution. In M.-H. Chen, L. Kuo & P. O. Lewis (Eds.), Bayesian Phylogenetics: Methods, Algorithms, and Applications (1 ed., Vol. 1). CRC Press.

Hobolth, A. & Siren, J. (2016). The multivariate Wright–Fisher process with mutation: Moment-based analysis and inference using a hierarchical Beta model. Theoretical Population Biology, 108, 36-50. https://doi.org/10.1016/j.tpb.2015.11.001

Hobolth, A., Siri-Jegousse, A. & Bladt, M. (2019). Phase-type distributions in population genetics. Theoretical Population Biology, 127, 16-32. https://doi.org/10.1016/j.tpb.2019.02.001

Hobolth, A., Guo, Q., Kousholt, A. & Jensen, J. L. (2020). A Unifying Framework and Comparison of Algorithms for Non-negative Matrix Factorisation. International Statistical Review, 88(1), 29-53. https://doi.org/10.1111/insr.12331

Hobolth, A., Bladt, M. & Andersen, L. N. (2021). Multivariate phase-type theory for the site frequency spectrum. Journal of Mathematical Biology, 83(6-7), Article 63. https://doi.org/10.1007/s00285-021-01689-w

Hobolth, A. & Wiuf, C. (2024). Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model. Theoretical Population Biology, 156, 1-4. https://doi.org/10.1016/j.tpb.2023.12.004

Hobolth, A., Rivas-González, I., Bladt, M. & Futschik, A. (2024). Phase-type distributions in mathematical population genetics: An emerging framework. Theoretical Population Biology, 157, 14-32. https://doi.org/10.1016/j.tpb.2024.03.001

Hirsch, C., Holmes, M. & Kleptsyn, V. (2021). Absence of WARM percolation in the very strong reinforcement regime. Annals of Applied Probability, 31(1), 199-217. https://doi.org/10.1214/20-AAP1587

Hirsch, C. (2020). On the decomposability of mod 2 cohomological invariants of Weyl groups. Commentarii mathematici helvetici, 95(4), 765-809. https://doi.org/10.4171/CMH/503

Hirsch, C., Bharti, A., Pedersen, T. & Waagepetersen, R. (2021). Maximum Likelihood Calibration of Stochastic Multipath Radio Channel Models. IEEE Transactions on Antennas and Propagation, 69(7), 4058-4069. Article 9298915. https://doi.org/10.1109/TAP.2020.3044379

Hirsch, C., Moka, S. B., Taimre, T. & Kroese, D. P. (2022). Rare Events in Random Geometric Graphs. Methodology and Computing in Applied Probability, 24(3), 1367-1383. https://doi.org/10.1007/s11009-021-09857-7

Hirsch, C., Jahnel, B. & Cali, E. (2022). Percolation and connection times in multi-scale dynamic networks. Stochastic Processes and Their Applications, 151, 490-518. https://doi.org/10.1016/j.spa.2022.06.008

Hirsch, C., Jahnel, B. & Muirhead, S. (2022). Sharp phase transition for Cox percolation. Electronic Communications in Probability, 27, 1-13. https://doi.org/10.1214/22-ECP487

Hirsch, C., Neumann, M. & Schmidt, V. (2023). Asymptotic properties of one-layer artificial neural networks with sparse connectivity. Statistics & Probability Letters, 193, Article 109698. https://doi.org/10.1016/j.spl.2022.109698

Hirsch, C., Jahnel, B. & Cali, E. (2023). Connection intervals in multi-scale infrastructure-augmented dynamic networks. Stochastic Models, 39(4), 851-877. https://doi.org/10.1080/15326349.2023.2184832

Hirsch, C., Holmes, M. & Kleptsyn, V. (2023). Infinite WARM graphs III: Strong reinforcement regime. Nonlinearity, 36(6), 3013-3042. https://doi.org/10.1088/1361-6544/acc9a0

Hirsch, C. & Willhalm, D. (2024). Lower large deviations for geometric functionals in sparse, critical and dense regimes. Alea (Rio de Janeiro), 21(2), 923-962. https://doi.org/10.30757/ALEA.V21-38

Hinrichsen, L. K., Labouriau, R., Engberg, R. M., Knierim, U. & Sørensen, J. T. (2016). Helminth infection is associated with hen mortality in Danish organic egg production. Veterinary Record, 179(8), article 196. https://doi.org/10.1136/vr.103614

Hinrichsen, L. K., Riber, A. B. & Labouriau, R. (2016). Associations between and development of welfare indicators in organic layers. Animal, 10(6), 953-960. https://doi.org/10.1017/S1751731115003018

Hill, R. M. & Johansen, S. G. (2006). Optimal and near-optimal policies for lost sales inventory models with at most one replenishment order outstanding. European Journal of Operational Research, 169(1), 111-132.

Displaying results 501 to 550 out of 1126

Revised 06.09.2024

Lars Madsen