- Wieditz, J., Pokern, Y., Schuhmacher, D., Huckemann, S.F. (2022).
Characteristic and Necessary Minutiae in Fingerprints. Journal of the Royal Statistical Society, Series C arXiv:2009.07910, 71, 27-50. - Konstantinoudis, G., Schuhmacher, D., Ammann, R., Diesch, T., Kuehni, C., Spycher, B. (2020).
Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: a nationwide study during 1985-2015. International Journal of Health Geographics, 19(15) Submitted. - Müller, R., Schuhmacher, D., Mateu, J. (2020).
Metrics and barycenters for point pattern data. Statistics and Computing, 30, 953-972 Submitted. - Hartmann, V., Schuhmacher, D. (2020).
Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case. Mathematical Methods of Operations Research, 92, 133-163 Submitted. - Kück, F., Schuhmacher, D. (2020).
Convergence Rates for the Degree Distribution in a Dynamic Network Model, Stochastic Models. 36(1), 134-171. Submitted. - Müller, R., Schuhmacher, D., Mateu, J. (2019).
Metrics and barycenters for point pattern data. Submitted. - Konstantinoudis, G., Schuhmacher, D., Ammann, R., Diesch, T., Kuehni, C., Spycher, B. (2019).
Bayesian spatial modelling of childhood cancer incidence in Switzerland using exact point data: A nationwide study during 1985-2015. Submitted. - Konstantinoudis, G., Schuhmacher, D., Rue, H., Spycher, B. (2018).
Discrete versus continuous domain models for disease mapping. Submitted. - Hartmann, V., Schuhmacher, D. (2018).
Semi-discrete optimal transport - the case p=1. Submitted. - Koliander, G., Schuhmacher, D., Hlawatsch, F. (2018).
Rate-Distortion Theory of Finite Point Processes. IEEE Trans. Inf. Theory, 64(8), 5832-5861. - Kück, F., Schuhmacher, D. (2018).
On the age of a randomly picked individual in a linear birth and death process. J. Appl. Probab., 55(1), 82-93. - Kück, F., Schuhmacher, D. (2018).
Convergence rates for the degree distribution in a dynamic network model. Submitted. - Schrieber, J., Schuhmacher, D., Gottschlich, C. (2017).
DOTmark - A Benchmark for Discrete Optimal Transport. IEEE Access, 5, 271 - 282. - Ross, N., Schuhmacher, D. (2017).
Wireless network signals with moderately correlated shadowing still appear Poisson. IEEE Trans. Inf. Theory, 63(2) , 1177-1198. - Ginsbourger, D., Roustant, O., Schuhmacher, D., Durrande, N., Lenz, N. (2016).
On ANOVA decompositions of kernels and Gaussian random field paths. Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014, Ronald Cools and Dirk Nuyens (editors), Springer Proceedings in Mathematics and Statistics, 163, 315-330. - Schuhmacher, D., Sturm, A., Zähle, H. (2016).
On qualitative robustness of the Lotka-Nagaev estimator for the offspring mean of a supercritical Galton-Watson process. J. Stat. Plan. Inference, 169, 56-70. - Dümbgen, L., Rufibach, K., Schuhmacher, D. (2014).
Maximum-likelihood estimation of a log-concave density based on censored data.
Electron. J. Statist., 8, 1405-1437. - Schuhmacher, D. (2014).
Steins method for approximating complex distributions, with a view towards point processes. In: Stochastic Geometry, Spatial Statistics and Random Fields, Vol. II: Models and Algorithms, Volker Schmidt (editor). Springer Lecture Notes in Mathematics, 2120, 1-30. - Gottschlich, C., Schuhmacher, D. (2014).
The Shortlist Method for Fast Computation of the Earth Mover's Distance and Finding Optimal Solutions to Transportation Problems. PLoS ONE, 9(10), e110214. - Stucki, K., Schuhmacher, D. (2014).
Bounds for the probability generating functional of a Gibbs point process. Advances in Applied Probability, 46(1), 21-34. - Schuhmacher, D., Stucki, K. (2014).
Gibbs point process approximation: total variation bounds using Steins method. Annals of Probability , 42(5), 1911-1951. - Dümbgen, L., Samworth, R., Schuhmacher, D. (2013).
Stochastic search for semiparametric linear regression models. In: From Probability to Statistics and Back: High-Dimensional Models and Processes, A Festschrift in Honor of Jon Wellner. IMS collections, 9, 78-90. - Schuhmacher, D., Hüsler, A., Dümbgen, L. (2011).
Multivariate log-concave distributions as a nearly parametric model. Statistics & Risk Modeling, 28, 277-295 (Preprint). - Dümbgen, L., Samworth, R., Schuhmacher, D. (2011).
Approximation by log-concave distributions, with applications to regression. Ann. Statist., 39, 702-730 (Preprint). - Schuhmacher, D., Dümbgen, L. (2010).
Consistency of multivariate log-concave density estimators. Statist. Probab. Letters, 80, 376-380. - Baddeley, A., Berman, M., Fisher, N., Hardegen, A., Milne, R., Schuhmacher, D., Shah, R., Turner, R. (2010).
Spatial logistic regression and change-of-support in Poisson point processes. Electron. J. Statist., 4, 1151-1201. - Schuhmacher, D. (2009).
Stein's method and Poisson process approximation for a class of Wasserstein metrics. Bernoulli, 15, 550-568. - Schuhmacher, D. (2009).
Distance estimates for dependent thinnings of point processes with densities. Electron. J. Probab., 14, 1080-1116. - Schuhmacher, D., Vo, B.-T., Vo, B.-N. (2008).
A consistent metric for performance evaluation of multi-object filters. IEEE Trans. Signal Processing, 56, 3447--3457 (Preprint). - Schuhmacher, D., Xia, A. (2008).
A new metric between distributions of point processes. Adv. Appl. Probab., 40, 651-672. - Schuhmacher, D. (2005).
Upper Bounds for Spatial Point Process Approximations. Ann. Appl. Probab., 15, 615-651. - Schuhmacher, D. (2005).
Distance estimates for Poisson process approximations of dependent thinnings. Electron. J. Probab., 10, 165-201. - Schuhmacher, D. (2005).
Distance estimates for dependent superpositions of point processes. Stochastic Process. Appl., 115, 1819-1837 (Preprint).
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