Veröffentlichungen "Krebs, Johannes"

2024

• 

  Hirsch, Christian ; Krebs, Johannes ; Redenbach, Claudia:
  Persistent homology based goodness-of-fit tests for spatial tessellations.
  In: Journal of nonparametric statistics. 36 (2024) 1. - S. 39-59.
  ISSN 1029-0311 ; 1048-5252
  10.1080/10485252.2023.2280022
  (Peer-Review-Journal)

2023

• 

  Roycraft, Benjamin ; Krebs, Johannes ; Polonik, Wolfgang:
  Bootstrapping persistent Betti numbers and other stabilizing statistics.
  In: The annals of statistics : an official journal of the Institute of Mathematical Statistics. 51 (2023) 4. - S. 1484-1509.
  ISSN 2168-8966 ; 0090-5364
  10.1214/23-AOS2277
  (Peer-Review-Journal)

2022

• 

  Krebs, Johannes ; Hirsch, Christian ; Redenbach, Claudia:
  Persistent homology based goodness-of-fit tests for spatial tessellations.
  2022
• 

  Krebs, Johannes ; Rademacher, Daniel ; Sachs, Rainer von:
  Statistical inference for intrinsic wavelet estimators of SPD matrices in a log-Euclidean manifold.
  2022

2021

• 

  Krebs, Johannes ; Roycraft, Benjamin ; Polonik, Wolfgang:
  Bootstrapping persistent Betti numbers and other stabilizing statistics.
  2021
• 

  Krebs, Johannes:
  On the Bahadur representation of sample quantiles for score functionals.
  2021
• Krebs, Johannes:
  On the law of the iterated logarithm and strong invariance principles in stochastic geometry.
  In: Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability. 27 (2021) 3. - S. 1695-1723.
  ISSN 1573-9759 ; 1350-7265
  (Peer-Review-Journal)
• Krebs, Johannes ; Roycraft, Benjamin ; Polonik, Wolfgang:
  On approximation theorems for the Euler characteristic with applications to the bootstrap.
  In: Electronic Journal of Statistics. 15 (2021) 2. - S. 4462-4509.
  ISSN 1935-7524
  (Peer-Review-Journal)
• Krebs, Johannes:
  A note on exponential inequalities in Hilbert spaces for spatial processes with applications to the functional kernel regression model.
  In: Journal of Statistical Theory and Practice. 15 (2021) 1. - S. 1-24.
  ISSN 1559-8616 ; 1559-8608
  (Peer-Review-Journal)
• Krebs, Johannes ; Hirsch, Christian:
  Functional central limit theorems for persistent Betti numbers on cylindrical networks.
  In: Scandinavian Journal of Statistics. 49 (2021) 1. - S. 427-454.
  ISSN 0303-6898 ; 1467-9469
  (Peer-Review-Journal)
• Krebs, Johannes:
  On limit theorems for persistent Betti numbers from dependent data.
  In: Stochastic processes and their Applications : an official journal of the Bernoulli Society for Mathematical Statistics and Probability. (2021). - S. 139-174.
  ISSN 0304-4149
  (Peer-Review-Journal)

2019

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  Krebs, Johannes ; Franke, Jürgen E. ; Valenzuela-Domínguez, Eduardo:
  A Bernstein inequality for spatial lattice processes.
  2019
• 

  Krebs, Johannes ; Polonik, Wolfgang:
  On the asymptotic normality of persistent Betti numbers.
  2019
• Baumgart, Claus ; Krebs, Johannes ; Lempertseder, Robert ; Pfaffel, Oliver:
  Quantifying life insurance risk using least-squares Monte Carlo.
  In: Der Aktuar : Zeitschrift der Deutschen Aktuarvereinigung e.V. 2 (2019). - S. 71-79.
  ISSN 0948-7794
  (Peer-Review-Journal)
• Krebs, Johannes:
  The bootstrap in kernel regression for stationary ergodic data when both response and predictor are functions.
  In: Journal of multivariate analysis. 173 (2019). - S. 620-639.
  ISSN 0047-259x ; 1095-7243
  (Peer-Review-Journal)

2018

• 

  Krebs, Johannes ; Franke, Jürgen E.:
  The autoregression bootstrap for kernel estimates of smooth nonlinear functional time series.
  2018
• Krebs, Johannes:
  Nonparametric density estimation for spatial data with wavelets.
  In: Journal of multivariate analysis. 166 (2018). - S. 300-319.
  ISSN 0047-259x ; 1095-7243
  (Peer-Review-Journal)
• Krebs, Johannes:
  Orthogonal series estimates on strong spatial mixing data.
  In: Journal of statistical planning and inference. 193 (2018). - S. 15-41.
  ISSN 0378-3758
  (Peer-Review-Journal)
• Krebs, Johannes:
  Non-parametric regression for spatially dependent data with wavelets.
  In: Statistics. 52 (2018). - S. 1270-1308.
  ISSN 0233-1888
  (Peer-Review-Journal)
• Krebs, Johannes:
  A Large Deviation Inequality for beta-mixing Time Series and its Applications to the Functional Kernel Regression Model.
  In: Statistics & probability letters. 133 (2018). - S. 50-58.
  ISSN 0167-7152
  (Peer-Review-Journal)

2017

• Krebs, Johannes:
  A Bernstein inequality for exponentially growing graphs.
  In: Communications in statistics / Theory and methods. 47 (2017). - S. 5097-5106.
  ISSN 0361-0926
  (Peer-Review-Journal)
• Krebs, Johannes:
  Consistency and asymptotic normality of stochastic Euler schemes for ordinary differential equations.
  In: Statistics & probability letters. 125 (2017). - S. 1-8.
  ISSN 0167-7152
  (Peer-Review-Journal)