| A consistent metric for performance evaluation of multi-object filters D Schuhmacher, BT Vo, BN Vo IEEE transactions on signal processing 56 (8), 3447-3457, 2008 | 2401 | 2008 |
| Package ‘spatstat’ A Baddeley, R Turner The Comprehensive R Archive Network () 146, 2014 | 125 | 2014 |
| Spatial logistic regression and change-of-support in Poisson point processes A Baddeley, M Berman, NI Fisher, A Hardegen, RK Milne, ... | 109 | 2010 |
| Approximation by log-concave distributions, with applications to regression L Dümbgen, R Samworth, D Schuhmacher The Annals of Statistics, 702-730, 2011 | 107 | 2011 |
| The shortlist method for fast computation of the earth mover's distance and finding optimal solutions to transportation problems C Gottschlich, D Schuhmacher PloS one 9 (10), e110214, 2014 | 63 | 2014 |
| A new metric between distributions of point processes D Schuhmacher, A Xia Advances in applied probability 40 (3), 651-672, 2008 | 62 | 2008 |
| transport: Computation of optimal transport plans and Wasserstein distances D Schuhmacher, B Bähre, C Gottschlich, V Hartmann, F Heinemann, ... R package version 0.12-2, 2020 | 59 | 2020 |
| Dotmark–a benchmark for discrete optimal transport J Schrieber, D Schuhmacher, C Gottschlich IEEE Access 5, 271-282, 2016 | 50 | 2016 |
| Multivariate log-concave distributions as a nearly parametric model D Schuhmacher, A Hüsler, L Dümbgen Statistics & Risk Modeling 28 (3), 277-295, 2011 | 34 | 2011 |
| On ANOVA decompositions of kernels and Gaussian random field paths D Ginsbourger, O Roustant, D Schuhmacher, N Durrande, N Lenz Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April …, 2016 | 28 | 2016 |
| Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case V Hartmann, D Schuhmacher Mathematical Methods of Operations Research 92 (1), 133-163, 2020 | 27 | 2020 |
| Discrete versus continuous domain models for disease mapping G Konstantinoudis, D Schuhmacher, H Rue, BD Spycher Spatial and spatio-temporal epidemiology 32, 100319, 2020 | 22 | 2020 |
| Gibbs point process approximation: Total variation bounds using Stein’s method D Schuhmacher, K Stucki | 21 | 2014 |
| Bounds for the probability generating functional of a Gibbs point process K Stucki, D Schuhmacher Advances in applied probability 46 (1), 21-34, 2014 | 21 | 2014 |
| Consistency of multivariate log-concave density estimators D Schuhmacher, L Dümbgen Statistics & probability letters 80 (5-6), 376-380, 2010 | 21 | 2010 |
| Wireless network signals with moderately correlated shadowing still appear Poisson N Ross, D Schuhmacher IEEE Transactions on Information Theory 63 (2), 1177-1198, 2016 | 20 | 2016 |
| Stochastic search for semiparametric linear regression models L Dümbgen, RJ Samworth, D Schuhmacher From Probability to Statistics and Back: High-Dimensional Models and …, 2013 | 16 | 2013 |
| Distance estimates for dependent superpositions of point processes D Schuhmacher Stochastic processes and their applications 115 (11), 1819-1837, 2005 | 16 | 2005 |
| Stein’s method and Poisson process approximation for a class of Wasserstein metrics D Schuhmacher | 15 | 2009 |
| Estimation of distances between point process distibutions D Schuhmacher University of Zurich, 2005 | 12 | 2005 |
Ba-Ngu VoCurtin UniversityE-mail confirmado em curtin.edu.au
