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R. Fried

7 papers hereh-index 272.9k citations169 works total

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

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • stat.ME3
same name
  • R. Fried — 10 papers, h 20
  • R. Fried — 2 papers, h 14
  • R. Fried — 1 paper, h 6
  • R. Fried — 1 paper, h 1

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
20132019
most citedElliptical graphical modelling

52 citations · 71 across the 5 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2019

QANOVA: Quantile-based Permutation Methods For General Factorial Designs

Marc Ditzhaus, Roland Fried, Markus Pauly

Population means and standard deviations are the most common estimands to quantify effects in factorial layouts. In fact, most statistical procedures in such designs are built towa…

math.ST2019★ 1 cited

Robust change point tests by bounded transformations

Alexander Dürre, Roland Fried

Classical moment based change point tests like the cusum test are very powerful in case of Gaussian time series with one change point but behave poorly under heavy tailed distribut…

math.ST2015★ 18 cited

Estimation of the variance of partial sums of dependent processes

Herold Dehling, Roland Fried, Olimjon Sh. Sharipov +2

We study subsampling estimators for the limit variance \[ σ^2=Var(X_1)+2 \sum_{k=2}^\infty Cov(X_1,X_k) \] of partial sums of a stationary stochastic process (Xk​)k≥1​. We…

math.ST2013

Change-Point Detection under Dependence Based on Two-Sample U-Statistics

Herold Dehling, Roland Fried, Isabel García +1

We study the detection of change-points in time series. The classical CUSUM statistic for detection of jumps in the mean is known to be sensitive to outliers. We thus propose a rob…

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