Random Probability Measures on Polish Spaces
By H. Crauel. 2002
273 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/309e0f909c5464f6ebe873b709c172063b7e839d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Zdzisław Brzeźniak
- Manuel S. Santos
- Arnaud Doucet
- Michael Ghil
- Adrian Alva
- Michael K. Pitt
- Yuhong Li
- Mickaël D. Chekroun
In Control and Systems Engineering
- Zdzisław Brzeźniak
- Manuel S. Santos
- Arnaud Doucet
- Michael Ghil
- Adrian Alva
- Michael K. Pitt
- Yuhong Li
- Mickaël D. Chekroun
In Mathematical Physics
- Arnaud Doucet
- Manuel S. Santos
- Michael Ghil
- Adrian Alva
- Michael K. Pitt
- Yuhong Li
- Mickaël D. Chekroun
- Eric Simonnet
Citations in the corpus
- Accuracy of simulations for stochastic dynamic models (2005, methodology): “Q.E.D. Finally, we present a simplified version of Crauel (2002), Proposition 6.21, page 95.”
- Stochastic climate dynamics: Random attractors and time-dependent invariant measures (2011, methodology): “The inverse operation of μ 7→ ρ = E[μ•] is then given by ρ 7→ μω = limt→∞ Φ(−t, ω)−1ρ; the latter is in fact the pullback limit of ρ due to the cocycle property [25].”
- The correlated pseudomarginal method (2015, methodology): “Crauel, H. (2003) Random Probability Measures on Polish Spaces.”
- Asymptotic compactness and absorbing sets for 2D stochastic Navier-Stokes equations on some unbounded domains (2006, background): “From now on, let X be the σ -field on C generated by open sets with respect to the Hausdorff metric ρ ; e.g. [8], [15] or Crauel [16].”
- On the structure of attractors and invariant measures for a class of monotone random systems (2004, unknown): “By definition (see, e.g. Arnold 1998: chapter 1 or Crauel 2002), a probability measure on ð X;F BðXÞÞ is an ’invariant measure’ for the RDS (#, ’) iff ð X f ð!”