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researcher

M. Falk

24 papers hereh-index 222.3k citations136 works total

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

author position
  • sole author1
  • first author14
  • middle author5
  • last author4

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • math.PR13
  • math.ST11
same name
  • M. Falk — 32 papers, h 43
  • M. Falk — 2 papers, h 3
  • M. Falk — 1 paper, h 16
  • M. Falk — 1 paper, h 3
  • M. Falk — 1 paper, h 36

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
20112019
most citedA multivariate piecing-together approach with an application to operational loss data

17 citations · 88 across the 18 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

math.ST2013

Testing for a δ-neighborhood of a generalized Pareto copula

Stefan Aulbach, Michael Falk

A multivariate distribution function F is in the max-domain of attraction of an extreme value distribution if and only if this is true for the copula corresponding to F and its uni…

math.PR2013

On generalized max-linear models and their statistical interpolation

Michael Falk, Martin Hofmann, Maximilian Zott

We propose a way how to generate a max-stable process in C[0,1] from a max-stable random vector in Rd by generalizing the \emph{max-linear model} established by \citet…

math.PR2013★ 7 cited

Max-stable processes and the functional D-norm revisited

Stefan Aulbach, Michael Falk, Martin Hofmann +1

Aulbach et al. (2013) introduced a max-domain of attraction approach for extreme value theory in C[0,1] based on functional distribution functions, which is more general than the a…

math.ST2013★ 1 cited

On Idempotent D-Norms

Michael Falk

Replacing the spectral measure by a random vector $\bfZ$ allows the representation of a max-stable distribution on Rd with standard negative margins via a norm, called \emph{$D…

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