Statistical estimation for multiplicative cascades
By Mina E. Ossiander, E. Waymire. 2000
110 citations recorded by the source corpus.
Subfields: Finance, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/bbad1ce5c5e5de42bdc423f46d1cac2d1341536a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Simon Michael Papalexiou
- Joan Bruna
- E. Volpi
- F. Lombardo
- Demetris Koutsoyiannis
- Stéphane Seuret
- J. Barral
- R. Keim
In Mathematical Physics
- Stéphane Seuret
- J. Barral
- Joan Bruna
- Demetris Koutsoyiannis
- Stéphane Jaffard
- Rémi Rhodes
- Vincent Vargas
- Antoine Ayache
In Statistics and Probability
- Simon Michael Papalexiou
- Joan Bruna
- Demetris Koutsoyiannis
- Stéphane Seuret
- J. Barral
- P. Furcolo
- Daniele Veneziano
- Andreas Langousis
Citations in the corpus
- Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology (2013, background): “Ossiander and Waymire (2000) already caution against using high moments in multifractal estimation, but their particular focus is on discrete multiplicative cascade models.”
- Scattering Representations for Recognition (2013, methodology): “However, the variance of this estimator converges very slowly with the sample size, as N−1+α with α > 0, as shown in [BKM08b; OW00].”
- Multifractal rainfall extremes: Theoretical analysis and practical estimation (2009, background): “For a detailed analysis of the root cause of these phenomena (the fact that high-order singularities are not observable in one-dimensional cascades), see [30, 31].”
- Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation (2009, methodology): “[1998] (see their Figure 4) obtained using the iid “β” model proposed by Over and Gupta [1994]. There was only minor improvement in model performance by introducing timescale dependence of the model parameters.”
- From Multifractal Measures to Multifractal Wavelet Series (2005, methodology): “Their analysis led to a large literature [38, 37, 27, 19, 47, 7, 6, 50].”