| 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 | 1661 | 2008 |
| 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 | 1661 | 2008 |
| Approximation by log-concave distributions, with applications to regression L Dümbgen, R Samworth, D Schuhmacher The Annals of Statistics 39 (2), 702-730, 2011 | 79 | 2011 |
| Spatial logistic regression and change-of-support in Poisson point processes A Baddeley, M Berman, NI Fisher, A Hardegen, RK Milne, ... Electronic Journal of Statistics 4, 1151-1201, 2010 | 75 | 2010 |
| Package ‘spatstat’ A Baddeley, R Turner The Comprehensive R Archive Network (), 2014 | 64* | 2014 |
| 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 | 42 | 2014 |
| A new metric between distributions of point processes D Schuhmacher, A Xia Advances in applied probability 40 (3), 651-672, 2008 | 33 | 2008 |
| Multivariate log-concave distributions as a nearly parametric model D Schuhmacher, A Hüsler, L Dümbgen Statistics & risk modeling 28 (3), 277-295, 2011 | 32 | 2011 |
| Dotmark–a benchmark for discrete optimal transport J Schrieber, D Schuhmacher, C Gottschlich IEEE Access 5, 271-282, 2016 | 23 | 2016 |
| Consistency of multivariate log-concave density estimators D Schuhmacher, L Dümbgen Statistics & probability letters 80 (5-6), 376-380, 2010 | 21 | 2010 |
| 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, 315-330, 2016 | 19 | 2016 |
| Wireless network signals with moderately correlated shadowing still appear Poisson N Ross, D Schuhmacher IEEE Transactions on Information Theory 63 (2), 1177-1198, 2016 | 15 | 2016 |
| Bounds for the probability generating functional of a Gibbs point process K Stucki, D Schuhmacher Advances in applied probability 46 (1), 21-34, 2014 | 14 | 2014 |
| Distance estimates for dependent superpositions of point processes D Schuhmacher Stochastic processes and their applications 115 (11), 1819-1837, 2005 | 14 | 2005 |
| Gibbs point process approximation: Total variation bounds using Stein’s method D Schuhmacher, K Stucki The Annals of Probability 42 (5), 1911-1951, 2014 | 13 | 2014 |
| Stochastic search for semiparametric linear regression models L Dümbgen, RJ Samworth, D Schuhmacher From Probability to Statistics and Back: High-Dimensional Models and …, 2013 | 13 | 2013 |
| Estimation of distances between point process distibutions D Schuhmacher University of Zurich, 2005 | 11 | 2005 |
| Distance estimates for Poisson process approximations of dependent thinnings D Schuhmacher Electronic Journal of Probability 10, 165-201, 2005 | 11 | 2005 |
| Stein’s method and Poisson process approximation for a class of Wasserstein metrics D Schuhmacher Bernoulli 15 (2), 550-568, 2009 | 10 | 2009 |
| spatstat: Spatial Point Pattern analysis, modelfitting and simulation. R package version A Baddeley, R Turner, R Waagepetersen, KK Berthelsen, D Schuhmacher, ... | 9 | 2005 |
Ba-Ngu VoCurtin UniversityVerified email at curtin.edu.au
