A statistical pipeline for identifying physical features that differentiate classes of 3D shapes-Reference-Cited by-同舟云学术

A statistical pipeline for identifying physical features that differentiate classes of 3D shapes

Published:2021-06-01 Issue:2 Volume:15 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Wang Bruce¹,Sudijono Timothy²,Kirveslahti Henry³,Gao Tingran⁴,Boyer Douglas M.⁵,Mukherjee Sayan⁶,Crawford Lorin⁷

Affiliation:

1. Lewis-Sigler Institute for Integrative Genomics, Princeton University

2. Division of Applied Mathematics, Brown University

3. Department of Statistical Science, Duke University

4. Committee on Computational and Applied Mathematics, Department of Statistics, University of Chicago

5. Department of Evolutionary Anthropology, Duke University

6. Department of Statistical Science, Department of Computer Science, Department of Mathematics, and Department of Bioinformatics & Biostatistics, Duke University

7. Microsoft Research New England

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

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