background: the two most frequently diagnosed cancers among women worldwide are breast and cervical cancers. the objective of the present study was to classify the different countries based on the death rates from sex specific cancers. methods : in this cross-sectional study, we used dataset regarding death rate from breast, cervical, uterine, and ovarian cancers in 190 countries worldwide repo...

The use of Riemannian manifolds and their statistics has recently gained popularity in a wide range of applications involving non-linear data modeling. For instance, they have been used to model shape changes in the brain [1] and human motion [3]. In this work we tackle the problem of approximating the Probability Density Function (PDF) of a potentially large dataset that lies on a known Rieman...

We observe a n -sample, the distribution of which is assumed to belong, or at least be close enough, given mixture model. propose an estimator this that belongs our model and possesses some robustness properties with respect possible misspecification it. establish non-asymptotic deviation bound for Hellinger distance between target its when consists densities belong VC-subgraph classes. Under s...

Abstract This article presents basic ideas of finite mixture models in which the number components is known and distributions comprising are not assumed to come from any parametrically specified family. categorized under: Algorithms Computational Methods > Statistical Learning Exploratory Data Sciences Clustering Classification Graphical Analysis Nonparametric Models