Publications
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Raoul Müller, DS and Jorge Mateu (2024).
ANOVA for metric spaces, with applications to spatial data,
Statistical Science 39(2), 262-285. -
Marianne Abémgnigni Njifon and DS (2024).
Graph convolutional networks for spatial interpolation of correlated data,
Spatial Statistics 60, 100822. - DS and Leoni Carla Wirth (2023). Assignment Based Metrics for Attributed Graphs, arXiv preprint.
- DS (2023). Distance maps between Japanese kanji characters based on hierarchical optimal transport, arXiv preprint.
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Raoul Müller, Anita Schöbel, DS (2023).
Location problems with cutoff,
Asia-Pacific Journal of Operational Research 40(3), 2250045. - Johannes Wieditz, Yvo Pokern, DS and Stephan Huckemann (2022).
Characteristic and necessary minutiae in fingerprints, J R Stat Soc Series C 71, 27–50. - Garyfallos Konstantinoudis, DS, Roland Ammann, Tamara Diesch, Claudia Kuehni and Ben Spycher (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). - Raoul Müller, DS and Jorge Mateu (2020).
Metrics and barycenters for point pattern data,
Statistics and Computing 30, 953-972. - Valentin Hartmann and DS (2020). Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case, Mathematical Methods of Operations Research 92, 133-163.
- Fabian Kück and DS (2020).
Convergence rates for the degree distribution in a
dynamic network model,
Stochastic Models 36(1), 134-171. [Published version] - Garyfallos Konstantinoudis, DS, Håvard Rue and Ben Spycher (2020).
Discrete versus continuous domain models for disease mapping, Spatial and Spatio-Temporal Epidemiology 32, 100319. [Published version] - Günther Koliander, DS and Franz Hlawatsch (2018).
Rate-distortion theory of finite point processes,
IEEE Trans. Inf. Theory 64(8), 5832-5861. [Published version] - Fabian Kück and DS (2018).
On the age of a randomly picked individual in a linear birth and death process,
J. Appl. Probab. 55(1), 82-93. [Published version] - Jörn Schrieber, DS and Carsten Gottschlich (2017).
DOTmark - a benchmark for discrete optimal transport,
IEEE Access 5, 271-282. - Nathan Ross and DS (2017).
Wireless network signals with moderately correlated shadowing still appear Poisson,
IEEE Trans. Inf. Theory 63(2), 1177-1198. [Published version] - David Ginsbourger, Olivier Roustant, DS, Nicolas Durrande and Nicolas Lenz (2016).
On ANOVA decompositions of kernels and Gaussian random field paths,
in 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. - DS, Anja Sturm and Henryk Zähle (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. - Carsten Gottschlich and DS (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. - DS (2014). Stein’s 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. - Lutz Dümbgen, Kaspar Rufibach and DS (2014).
Maximum-likelihood estimation of a log-concave density based on censored data,
Electron. J. Statist. 8, 1405-1437. - Kaspar Stucki and DS (2014). Bounds for the probability generating functional of a Gibbs point process,
Adv. Appl. Probab. 46(1), 21-34. - DS and Kaspar Stucki (2014). Gibbs point process approximation: total variation bounds using Stein’s method,
Ann. Probab. 42(5), 1911-1951 - Lutz
Dümbgen, Richard Samworth and DS (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 vol. 9, 78--90. - Lutz
Dümbgen, Richard Samworth and DS (2011).
Approximation by log-concave distributions, with applications to regression, Ann. Statist. 39(2), 702--730.
Extended version: Technical report 75, IMSV, University of Bern (http://arxiv.org/pdf/1002.3448v3). - DS, André Hüsler and Lutz Dümbgen (2011). Multivariate log-concave distributions as a nearly parametric model,
Statistics & Risk Modeling 28(3), 277--295.
Original article by kind permission of Oldenbourg Wissenschaftsverlag, Munich/Germany.
Extended version: Technical report 74, IMSV, University of Bern (http://arxiv.org/abs/0907.0250). - A. Baddeley, M. Berman, N. Fisher, A. Hardegen, R. Milne, DS, R. Shah, and R. Turner (2010).
Spatial logistic regression and change-of-support in Poisson point processes,
Electron. J. Statist. 4, 1151--1201. - DS and Lutz Dümbgen (2010). Consistency of multivariate log-concave density estimators,
Statist. Probab. Letters 80(5-6), 376--380. - DS (2009). Stein's method and Poisson process approximation for a class of Wasserstein metrics,
Bernoulli 15(2), 550--568. - DS (2009). Distance estimates for dependent thinnings of point processes with densities,
Electron. J. Probab. 14, 1080--1116. - DS and Aihua Xia (2008).
A new metric between distributions of point processes,
Adv. Appl. Probab. 40(3), 651--672. - DS, Ba-Tuong Vo and Ba-Ngu Vo (2008). A consistent metric for performance evaluation of multi-object filters,
IEEE Trans. Signal Processing 56(8, part 1), 3447--3457. - DS (2005). Distance estimates for dependent superpositions of point
processes,
Stochastic Process. Appl. 115, 1819--1837. [Reprint of final version] - DS (2005). Distance estimates for Poisson process approximations of dependent thinnings,
Electron. J. Probab. 10, 165--201. - DS (2005). Upper Bounds for Spatial Point Process Approximations,
Ann. Appl. Probab. 15, no. 1B, 615--651.