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Cognitive control in music: adaptive strategies for relative pitch across the absolute-pitch proficiency continuum. [PDF]
Front PsycholShibayama K, Shimada H, Itoh K.
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Social Mixing Patterns and Chikungunya Reemergence Risk in French Polynesia.
JAMA Netw OpenChung KK +14 more
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Stochastic Models, 2006
A class of infinitely divisible covariance mixtures of Gaussian random matrices is introduced, and a characterization within the class of infinitely divisible left-orthogonally invariant matrix distributions is proved.
Barndorff-Nielsen, Ole Eiler +2 more
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A class of infinitely divisible covariance mixtures of Gaussian random matrices is introduced, and a characterization within the class of infinitely divisible left-orthogonally invariant matrix distributions is proved.
Barndorff-Nielsen, Ole Eiler +2 more
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Oberwolfach Reports, 2020
Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian universality class via the central limit theorem. For non-commutative random variables, e.g.
László Erdős +2 more
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Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian universality class via the central limit theorem. For non-commutative random variables, e.g.
László Erdős +2 more
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2019
Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian universality class via the central limit theorem. For non-commutative random variables, e.g.
openaire +2 more sources
Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian universality class via the central limit theorem. For non-commutative random variables, e.g.
openaire +2 more sources