Carnegie Mellon University

Nonparametric Methods

Non-parametric (or distribution-free) inferential statistical methods are mathematical procedures for statistical hypothesis testing which, unlike parametric statistics, make no assumptions about the probability distributions of the variables being assessed.

Department Members with this Research Interest

20 bios displayed.

Zach Branson

Zach Branson

Assistant Teaching Professor

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Alexandra Chouldechova

Alexandra Chouldechova

Estella Loomis McCandless Assistant Professor of Statistics and Public Policy

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Max G'Sell

Max G'Sell

Associate 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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Alex Levis

Alex Levis

Postdoctoral Researcher

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Haeun Moon

Haeun Moon

Postdoctoral Researcher

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Matey Neykov

Matey Neykov

Associate 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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Cosma Shalizi

Cosma Shalizi

Associate Professor

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Valerie  Ventura

Valerie Ventura

Professor, Co-Director PhD Program

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Larry Wasserman

Larry Wasserman

UPMC University Professor

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Ron Yurko

Ron Yurko

Assistant Teaching Professor

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Tianyu Zhang

Tianyu Zhang

Postdoctoral Researcher

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