Multivariate Central Limit Theorem
The Multivariate Central Limit Theorem is a fundamental theorem in probability theory stating that the normalized sum of a sufficiently large number of independent and identically distributed random vectors converges in distribution to a multivariate normal distribution.
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Multivariate Clt
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Chapter 16: Special Topics in Statistics
Julian P. T. Higgins, Jonathan J Deeks, David Altman · 2008 · 698 citations
Wei‐Liem Loh · The Annals of Statistics · 1996 · 618 citations · Full text
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Ruhr University Bochum
Bochum, Germany
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521 citations
Stanford University
Stanford, United States
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Centre National de la Recherche Scientifique
Paris, France
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Karlsruhe Institute of Technology
Karlsruhe, Germany
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University of California, Davis
Davis, United States
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University of Pittsburgh
Pittsburgh, United States
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University of Waterloo
Waterloo, Canada
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University of Bern
Bern, Switzerland
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