DOIAbstract
International audienceComment of the very interesting paper by Hilhorst & Schehr, J. Stat. Mech. P06003 (2007). The main point is that one should be extremely careful when interpreting non-Gaussian data in terms of q-Gaussians
International audienceComment of the very interesting paper by Hilhorst & Schehr, J. Stat. Mech. P06003 (2007). The main point is that one should be extremely careful when interpreting non-Gaussian data in terms of q-Gaussians
Practitioners and researchers who have handled financial market data know that asset returns do not ...
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian stati...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The importance of the Gaussian distribution as a quantitative model of stochastic phenomena is famil...
n this work, we study the properties of the mass density field in the non-Gaussian world models simu...
Non-Gaussian effects are important features in many fields of physics, and the search for non-Gaussi...
Statistical criteria used today in the analysis of radio signals suspected on reasonable extraterres...
this paper. The Central Limit Theorem explains why the normal distribution is so commonly , r observ...
Gibbs measures are the main object of study in equilibrium statistical mechanics, and are used in ma...
International audienceq-Gaussian behavior is often encountered in quite distinct settings. A possibl...
The family of q-Gaussian and q-exponential probability densities fit thestatistical behavior of dive...
Non-gaussianity represents the statistical signature of physical processes such as turbulence. It c...
WOS: 000428493900032In this paper we address a number of pitfalls regarding the use of kurtosis as a...
We provide numerical indications of the q-generalised central limit theorem that has been conjecture...
DISCLAIMER: I have not (yet) properly acknowledged indi-vidually the sources for the material, espec...
Practitioners and researchers who have handled financial market data know that asset returns do not ...
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian stati...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The importance of the Gaussian distribution as a quantitative model of stochastic phenomena is famil...
n this work, we study the properties of the mass density field in the non-Gaussian world models simu...
Non-Gaussian effects are important features in many fields of physics, and the search for non-Gaussi...
Statistical criteria used today in the analysis of radio signals suspected on reasonable extraterres...
this paper. The Central Limit Theorem explains why the normal distribution is so commonly , r observ...
Gibbs measures are the main object of study in equilibrium statistical mechanics, and are used in ma...
International audienceq-Gaussian behavior is often encountered in quite distinct settings. A possibl...
The family of q-Gaussian and q-exponential probability densities fit thestatistical behavior of dive...
Non-gaussianity represents the statistical signature of physical processes such as turbulence. It c...
WOS: 000428493900032In this paper we address a number of pitfalls regarding the use of kurtosis as a...
We provide numerical indications of the q-generalised central limit theorem that has been conjecture...
DISCLAIMER: I have not (yet) properly acknowledged indi-vidually the sources for the material, espec...
Practitioners and researchers who have handled financial market data know that asset returns do not ...
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian stati...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
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