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Nonparametric Estimation of Multivariate Mixtures
Journal of the American Statistical Association, 2019A 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
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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
Computer Vision and Pattern Recognition, 2016We 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
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Effect sizes for nonparametric tests
Biochemia MedicaEffect 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
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Introduction to Nonparametric Estimation
Springer Series in Statistics, 2008A. Tsybakov
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Nonparametric estimation of multivariate quantiles
, 2018Maximilian Coblenz +2 more
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Nonparametric Probability Density Estimation: I. A Summary of Available Methods
Technometrics, 1972Edward J Wegman
exaly +2 more sources
Nonparametric estimation of the determinants of inefficiency
, 2017Christopher F. Parmeter +2 more
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Nonparametric Estimation and Comparison of Species Richness
, 2016A. Chao, ChunâHuo Chiu
semanticscholar +1 more source

