| On the asymptotic normality of persistent Betti numbers J Krebs, W Polonik arXiv preprint arXiv:1903.03280, 2019 | 25 | 2019 |
| Functional central limit theorems for persistent Betti numbers on cylindrical networks J Krebs, C Hirsch Scandinavian Journal of Statistics 49 (1), 427-454, 2022 | 18 | 2022 |
| On approximation theorems for the Euler characteristic with applications to the bootstrap J Krebs, B Roycraft, W Polonik Electronic Journal of Statistics 15 (2), 4462-4509, 2021 | 12 | 2021 |
| Bootstrapping persistent Betti numbers and other stabilizing statistics B Roycraft, J Krebs, W Polonik The Annals of Statistics 51 (4), 1484-1509, 2023 | 11 | 2023 |
| On limit theorems for persistent Betti numbers from dependent data J Krebs Stochastic Processes and their Applications 139, 139-174, 2021 | 6 | 2021 |
| Nonparametric density estimation for spatial data with wavelets JTN Krebs Journal of Multivariate Analysis 166, 300-319, 2018 | 6 | 2018 |
| A large deviation inequality for β-mixing time series and its applications to the functional kernel regression model JTN Krebs Statistics & Probability Letters 133, 50-58, 2018 | 6 | 2018 |
| A Bernstein inequality for spatial lattice processes E Valenzuela-Domínguez, JTN Krebs, JE Franke arXiv preprint arXiv:1702.02023, 2017 | 6 | 2017 |
| The bootstrap in kernel regression for stationary ergodic data when both response and predictor are functions JTN Krebs Journal of Multivariate Analysis 173, 620-639, 2019 | 5 | 2019 |
| A Bernstein inequality for exponentially growing graphs JTN Krebs Communications in Statistics-Theory and Methods 47 (20), 5097-5106, 2018 | 5 | 2018 |
| Orthogonal series estimates on strong spatial mixing data JTN Krebs Journal of Statistical Planning and inference 193, 15-41, 2018 | 5 | 2018 |
| On the law of the iterated logarithm and strong invariance principles in stochastic geometry J Krebs | 4 | 2021 |
| Non-parametric regression for spatially dependent data with wavelets JTN Krebs Statistics 52 (6), 1270-1308, 2018 | 3 | 2018 |
| Persistent homology based goodness-of-fit tests for spatial tessellations C Hirsch, J Krebs, C Redenbach Journal of Nonparametric Statistics 36 (1), 39-59, 2024 | 2 | 2024 |
| Statistical inference for intrinsic wavelet estimators of SPD matrices in a log-Euclidean manifold J Krebs, D Rademacher, R von Sachs arXiv preprint arXiv:2202.07010, 2022 | 2 | 2022 |
| A note on exponential inequalities in Hilbert spaces for spatial processes with applications to the functional kernel regression model J Krebs Journal of Statistical Theory and Practice 15 (1), 20, 2021 | 2 | 2021 |
| Consistency and asymptotic normality of stochastic Euler schemes for ordinary differential equations JTN Krebs Statistics & Probability Letters 125, 1-8, 2017 | 2 | 2017 |
| Supplement to “On the law of the iterated logarithm and strong invariance principles in stochastic geometry.” J Krebs | 1 | 2021 |
| The autoregression bootstrap for kernel estimates of smooth nonlinear functional time series JTN Krebs, JE Franke arXiv preprint arXiv:1811.06172, 2018 | 1 | 2018 |
| Statistical inference for wavelet curve estimators of symmetric positive definite matrices D Rademacher, J Krebs, R von Sachs Journal of Statistical Planning and Inference 231, 106140, 2024 | | 2024 |
