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Nonparametric Estimation of Multivariate Mixtures

Journal of the American Statistical Association, 2019
A multivariate mixture model is determined by three elements: the number of components, the mixing proportions, and the component distributions. Assuming that the number of components is given and that each mixture component has independent marginal ...
Chaowen Zheng, Yichao Wu
semanticscholar   +1 more source

Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

Computer Vision and Pattern Recognition, 2016
We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image ...
Zhe Cao, T. Simon, S. Wei, Yaser Sheikh
semanticscholar   +1 more source

Effect sizes for nonparametric tests

Biochemia Medica
Effect size measures are important complements to P values, providing information about the magnitude and practical relevance of research findings. While widely discussed in the context of parametric tests, effect size estimation for nonparametric tests ...
Fernanda Fiel Peres
semanticscholar   +1 more source

Introduction to Nonparametric Estimation

Springer Series in Statistics, 2008
A. Tsybakov
semanticscholar   +1 more source

Nonparametric Statistics

Encyclopedia of Autism Spectrum Disorders, 2022
V. Brazauskas
semanticscholar   +1 more source

Nonparametric estimation of multivariate quantiles

, 2018
Maximilian Coblenz   +2 more
semanticscholar   +1 more source

Nonparametric estimation of the determinants of inefficiency

, 2017
Christopher F. Parmeter   +2 more
semanticscholar   +1 more source

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