On (p1,…,pk)-spherical distributions
نویسندگان
چکیده
منابع مشابه
Spherical-Homoscedastic Distributions Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
Many feature representations, as in genomics, describe directional data where all feature vectors share a common norm. In other cases, as in computer vision, a norm or variance normalization step, where all feature vectors are normalized to a common length, is generally used. These representations and pre-processing step map the original data from R to the surface of a hypersphere Sp−1. Such re...
متن کاملSpherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
Many feature representations, as in genomics, describe directional data where all feature vectors share a common norm. In other cases, as in computer vision, a norm or variance normalization step, where all feature vectors are normalized to a common length, is generally used. These representations and pre-processing step map the original data from Rp to the surface of a hypersphere Sp−1. Such r...
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Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit models, many copula models, and Latent Dirichlet Allocation (LDA) models. Bayesian inference involving probability distributions confined to constrained domains could be quite challenging for commonly used sampling al...
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ژورنال
عنوان ژورنال: Journal of Statistical Distributions and Applications
سال: 2019
ISSN: 2195-5832
DOI: 10.1186/s40488-019-0097-z