Prof. Dr. Dominic Schuhmacher

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  • 2021 | Journal Article
    ​ ​Characteristic and necessary minutiae in fingerprints​
    Wieditz, J.; Pokern, Y.; Schuhmacher, D.   & Huckemann, S. ​ (2021) 
    Journal of the Royal Statistical Society: Series C (Applied Statistics), art. rssc.12520​.​ DOI: https://doi.org/10.1111/rssc.12520 
    ​Details  DOI 
  • 2020 | Journal Article
    ​ ​Discrete versus continuous domain models for disease mapping​
    Konstantinoudis, G.; Schuhmacher, D. ; Rue, H. & Spycher, B. D​ (2020) 
    Spatial and Spatio-Temporal Epidemiology, 32 pp. 100319​.​ DOI: https://doi.org/10.1016/j.sste.2019.100319 
    ​Details  DOI 
  • 2020 | Journal Article
    ​ ​Convergence rates for the degree distribution in a dynamic network model​
    Kück, F.   & Schuhmacher, D. ​ (2020) 
    Stochastic Models, 36(1) pp. 134​-171​.​ DOI: https://doi.org/10.1080/15326349.2019.1696685 
    ​Details  DOI  arXiv 
  • 2020 | Journal Article | 
    ​ ​Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: a nationwide study during 1985–2015​
    Konstantinoudis, G.; Schuhmacher, D. ; Ammann, R. A.; Diesch, T.; Kuehni, C. E. & Spycher, B. D.​ (2020) 
    International Journal of Health Geographics, 19(1).​ DOI: https://doi.org/10.1186/s12942-020-00211-7 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case​
    Hartmann, V. & Schuhmacher, D. ​ (2020) 
    Mathematical Methods of Operations Research, 92(1) pp. 133​-163​.​ DOI: https://doi.org/10.1007/s00186-020-00703-z 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Metrics and barycenters for point pattern data​
    Müller, R.; Schuhmacher, D.   & Mateu, J.​ (2020) 
    Statistics and Computing, 30(4) pp. 953​-972​.​ DOI: https://doi.org/10.1007/s11222-020-09932-y 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​On the age of a randomly picked individual in a linear birth-and-death process​
    Kück, F.   & Schuhmacher, D. ​ (2018) 
    Journal of Applied Probability, 55(1) pp. 82​-93​.​ DOI: https://doi.org/10.1017/jpr.2018.7 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Rate-Distortion Theory of Finite Point Processes​
    Koliander, G.; Schuhmacher, D.   & Hlawatsch, F.​ (2018) 
    IEEE Transactions on Information Theory, 64(8) pp. 5832​-5861​.​ DOI: https://doi.org/10.1109/TIT.2018.2829161 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Wireless Network Signals With Moderately Correlated Shadowing Still Appear Poisson​
    Ross, N. & Schuhmacher, D. ​ (2017) 
    IEEE Transactions on Information Theory, 63(2) pp. 1177​-1198​.​ DOI: https://doi.org/10.1109/tit.2016.2629482 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​DOTmark - A Benchmark for Discrete Optimal Transport​
    Schrieber, J.; Schuhmacher, D.   & Gottschlich, C. ​ (2017) 
    IEEE Access, 5 pp. 271​-282​.​ DOI: https://doi.org/10.1109/ACCESS.2016.2639065 
    ​Details  DOI  WoS 
  • 2016 | Book Chapter
    ​ ​On ANOVA decompositions of kernels and Gaussian random field paths​
    Ginsbourger, D.; Roustant, O.; Schuhmacher, D. ; Durrande, N.& Lenz, N.​ (2016)
    In:​Cools, Ronald; Nuyens, Dirk​ (Eds.), Monte Carlo and Quasi-Monte Carlo Methods pp. 315​-330. (Vol. 163). ​Leuven, Belgium: ​MCQMC.
    ​Details  arXiv 
  • 2014 | Journal Article
    ​ ​Bounds for the probability generating functional of a Gibbs point process​
    Stucki, K. & Schuhmacher, D. ​ (2014) 
    Advances in Applied Probability, 46(1) pp. 21​-34​.​ DOI: https://doi.org/10.1239/aap/1396360101 
    ​Details  DOI  arXiv 
  • 2014 | Book Chapter
    ​ ​Stein’s method for approximating complex distributions, with a view towards point processes​
    Schuhmacher, D. ​ (2014)
    In:​Schmidt, Volker​ (Ed.), Stochastic Geometry, Spatial Statistics and Random Fields Vol II: Models and Algorithms pp. 1​-30. ​Berlin: ​Springer.
    ​Details 
  • 2014 | Journal Article
    ​ ​Maximum-likelihood estimation of a log-concave density based on censored data​
    Dümbgen, L.; Rufibach, K. & Schuhmacher, D. ​ (2014) 
    Electronic Journal of Statistics, 8(1) pp. 1405​-1437​.​ DOI: https://doi.org/10.1214/14-ejs930 
    ​Details  DOI 
  • 2014 | Journal Article | 
    ​ ​The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems​
    Gottschlich, C.   & Schuhmacher, D. ​ (2014) 
    PLoS ONE, 9(10) art. e110214​.​ DOI: https://doi.org/10.1371/journal.pone.0110214 
    ​Details  DOI  PMID  PMC 
  • 2013 | Book Chapter
    ​ ​Stochastic search for semiparametric linear regression models​
    Dümbgen, L.; Samworth, R. J.& Schuhmacher, D. ​ (2013)
    In: From Probability to Statistics and Back: High-Dimensional Models and Processes pp. 78​-90. ​Beachwood, Ohio: ​Institute of Mathematical Statistics. DOI: https://doi.org/10.1214/12-imscoll907 
    ​Details  DOI  arXiv 
  • 2012 | Journal Article
    ​ ​Distance estimates for dependent thinnings of point processes with densities​
    Schuhmacher, D. ​ (2012) 
    Electronic Journal of Probability, 14 pp. 1080​-1116​.​ DOI: https://doi.org/10.1214/ejp.v14-643 
    ​Details  DOI  arXiv 
  • 2012 | Journal Article
    ​ ​Multivariate log-concave distributions as a nearly parametric model​
    Schuhmacher, D. ; Hüsler, A. & Dümbgen, L.​ (2012) 
    Statistics & Risk Modeling, 28(3) pp. 277​-295​.​ DOI: https://doi.org/10.1524/stnd.2011.1073 
    ​Details  DOI  arXiv 
  • 2012 | Journal Article
    ​ ​Distance Estimates for Poisson Process Approximations of Dependent Thinnings​
    Schuhmacher, D. ​ (2012) 
    Electronic Journal of Probability, 10 pp. 165​-201​.​ DOI: https://doi.org/10.1214/ejp.v10-237 
    ​Details  DOI 
  • 2011 | Journal Article
    ​ ​Approximation by log-concave distributions, with applications to regression​
    Dümbgen, L.; Samworth, R. & Schuhmacher, D. ​ (2011) 
    Annals of statistics, 39(2) pp. 702​-730​.​ DOI: https://doi.org/10.1214/10-aos853 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Spatial logistic regression and change-of-support in Poisson point processes​
    Baddeley, A.; Berman, M.; Fisher, N. I.; Hardegen, A.; Milne, R. K.; Schuhmacher, D.   & Shah, R. et al.​ (2010) 
    Electronic Journal of Statistics, 4 pp. 1151​-1201​.​ DOI: https://doi.org/10.1214/10-ejs581 
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​Consistency of multivariate log-concave density estimators​
    Schuhmacher, D.   & Dümbgen, L.​ (2009) 
    Statistics & Probability Letters, 80(5-6) pp. 376​-380​.​ DOI: https://doi.org/10.1016/j.spl.2009.11.013 
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​Stein’s method and Poisson process approximation for a class of Wasserstein metrics​
    Schuhmacher, D. ​ (2009) 
    Bernoulli, 15(2) pp. 550​-568​.​ DOI: https://doi.org/10.3150/08-bej161 
    ​Details  DOI 
  • 2008 | Journal Article
    ​ ​A new metric between distributions of point processes​
    Schuhmacher, D.   & Xia, A.​ (2008) 
    Advances in Applied Probability, 40(3) pp. 651​-672​.​ DOI: https://doi.org/10.1239/aap/1222868180 
    ​Details  DOI 
  • 2008 | Journal Article
    ​ ​A Consistent Metric for Performance Evaluation of Multi-Object Filters​
    Schuhmacher, D. ; Vo, B.-T. & Vo, B.-N.​ (2008) 
    IEEE Transactions on Signal Processing, 56(8) pp. 3447​-3457​.​ DOI: https://doi.org/10.1109/tsp.2008.920469 
    ​Details  DOI 
  • 2005 | Journal Article
    ​ ​Distance estimates for dependent superpositions of point processes​
    Schuhmacher, D. ​ (2005) 
    Stochastic Processes and their Applications, 115(11) pp. 1819​-1837​.​ DOI: https://doi.org/10.1016/j.spa.2005.06.004 
    ​Details  DOI 
  • 2005 | Journal Article | 
    ​ ​Upper bounds for spatial point process approximations​
    Schuhmacher, D. ​ (2005) 
    The Annals of Applied Probability, 15(1B) pp. 615​-651​.​ DOI: https://doi.org/10.1214/105051604000000684 
    ​Details  DOI 

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