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researcher

J. Franke

4 papers hereh-index 222k citations88 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.ST3
  • stat.CO1
same name
  • J. Franke — 17 papers, h 6
  • J. Franke — 7 papers, h 9
  • J. Franke — 6 papers, h 5
  • J. Franke — 5 papers, h 4
  • J. Franke — 3 papers, h 16
  • J. Franke — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedA residual-based bootstrap for functional autoregressions

8 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

stat.CO2020

Adaptive Quantile Computation for Brownian Bridge in Change-Point Analysis

Jürgen Franke, Mario Hefter, André Herzwurm +2

As an example for the fast calculation of distributional parameters of Gaussian processes, we propose a new Monte Carlo algorithm for the computation of quantiles of the supremum n…

math.ST2019★ 8 cited

A residual-based bootstrap for functional autoregressions

Jürgen Franke, Euna Gesare Nyarige

We consider the residual-based or naive bootstrap for functional autoregressions of order 1 and prove that it is asymptotically valid for, e.g., the sample mean and for empirical c…

math.ST2018

The autoregression bootstrap for kernel estimates of smooth nonlinear functional time series

Johannes T. N. Krebs, Jürgen E. Franke

Functional times series have become an integral part of both functional data and time series analysis. This paper deals with the functional autoregressive model of order 1 and the…

math.ST2017★ 4 cited

A Bernstein Inequality For Spatial Lattice Processes

Eduardo Valenzuela-Domínguez, Johannes T. N. Krebs, Jürgen E. Franke

In this article we present a Bernstein inequality for sums of random variables which are defined on a spatial lattice structure. The inequality can be used to derive concentration…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.