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A. Pichler

30 papers hereh-index 262.5k citations165 works total

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

author position
  • sole author6
  • first author6
  • middle author3
  • last author13

Across the 28 of 30 papers where every author was matched, so the position is known.

fields
  • math.OC12
  • math.PR4
  • math.ST4
  • math.FA2
  • math.NT2
  • q-fin.RM2
same name
  • A. Pichler — 14 papers, h 7
  • A. Pichler — 7 papers, h 7
  • A. Pichler — 5 papers, h 13
  • A. Pichler — 2 papers, h 2

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
20122025
most citedComputing with Hamiltonian operators

12 citations · 57 across the 23 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

math.PR2017

Geometry Of The Expected Value Set And The Set-Valued Sample Mean Process

Alois Pichler

The law of large numbers extends to random sets by employing Minkowski addition. Above that, a central limit theorem is available for set-valued random variables. The existing resu…

math.FA2017★ 4 cited

On Banach spaces of vector-valued random variables and their duals motivated by risk measures

Thomas Kalmes, Alois Pichler

We introduce Banach spaces of vector-valued random variables motivated from mathematical finance. So-called risk functionals are defined in a natural way on these Banach spaces and…

q-fin.PR2017★ 11 cited

Incorporating statistical model error into the calculation of acceptability prices of contingent claims

Martin Glanzer, Georg Ch. Pflug, Alois Pichler

The determination of acceptability prices of contingent claims requires the choice of a stochastic model for the underlying asset price dynamics. Given this model, optimal bid and…

math.OC2017

Fundamental Properties of Process Distances

Julio Backhoff Veraguas, Mathias Beiglböck, Manu Eder +1

Information is an inherent component of stochastic processes and to measure the distance between different stochastic processes it is not sufficient to consider the distance betwee…

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