Publikationsserver der Katholischen Universität Eichstätt-Ingolstadt
KU.edoc
Publikationsserver
Anmelden
Startseite
Blättern
Suchen
Startseite
Kontakt
Open Access an der KU
Server-Statistik
Blättern
Suchen
Veröffentlichungen "
Krebs, Johannes
"
Eine Ebene nach oben ...
Exportieren als
ASCII Citation
BibTeX
Dublin Core
EP3 XML
EndNote
HTML Citation
JSON
Object IDs
Reference Manager
Atom
RSS 1.0
RSS 2.0
Gruppieren nach:
Publikationsform
|
Jahr
|
Keine Gruppierung
Anzahl der Einträge:
22
.
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)
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)
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
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)
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)
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)
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)
Diese Liste wurde am
23.12.2024 00:32
generiert.
[Zum Seitenanfang]
URL für die
Einbettung dieser Liste in externe WWW-Seiten: