Carnegie Mellon University

High-Dimensional Statistics

In statistical theory, the field of high-dimensional statistics studies data whose dimension is larger than dimensions considered in classical multivariate analysis. High-dimensional statistics relies on the theory of random vectors. In many applications, the dimension of the data vectors may be larger than the sample size.

Department Members with this Research Interest

15 bios displayed.

Alexandra Chouldechova

Alexandra Chouldechova

Estella Loomis McCandless Assistant Professor of Statistics and Public Policy

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Max G'Sell

Max G'Sell

Assistant Professor

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Edward Kennedy

Edward Kennedy

Associate Professor

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Ann Lee

Ann Lee

Professor, Co-Director Ph.D. Program

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Jing Lei

Jing Lei

Associate Professor

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Matey Neykov

Matey Neykov

Assistant Professor

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Alessandro Rinaldo

Alessandro Rinaldo

Professor, Associate Dean of Research, Dietrich College of Humanities & Social Sciences

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Kathryn  Roeder

Kathryn Roeder

UPMC Professor of Statistics and Life Sciences

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Larry Wasserman

Larry Wasserman

UPMC University Professor

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