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Moritz Schauer

24 papers hereh-index 14697 citations39 works total

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

author position
  • first author1
  • middle author11
  • last author11

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • stat.CO7
  • math.PR5
  • math.ST4
  • stat.ME3
  • cs.CY1
  • cs.LG1
same name
  • Moritz Schauer — 7 papers, h 2
  • Moritz Schauer — 5 papers, h 3
  • Moritz Schauer — 2 papers

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
20132023
most citedGuided proposals for simulating multi-dimensional diffusion bridges

57 citations · 223 across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.PR2021

Conditioning continuous-time Markov processes by guiding

Marc Corstanje, Frank van der Meulen, Moritz Schauer

A continuous-time Markov process X can be conditioned to be in a given state at a fixed time T>0 using Doob's h-transform. This transform requires the typically intractable…

stat.CO2021

Applied Measure Theory for Probabilistic Modeling

Chad Scherrer, Moritz Schauer

Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates…

math.PR2021★ 2 cited

Weak solutions to gamma-driven stochastic differential equations

Denis Belomestny, Shota Gugushvili, Moritz Schauer +1

We study a stochastic differential equation driven by a gamma process, for which we give results on the existence of weak solutions under conditions on the volatility function. To…

stat.CO2021★ 9 cited

Sticky PDMP samplers for sparse and local inference problems

Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen +1

We construct a new class of efficient Monte Carlo methods based on continuous-time piecewise deterministic Markov processes (PDMPs) suitable for inference in high dimensional spars…

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