Titlebook: Statistical Models and Methods for Data Science; Leonardo Grilli,Monia Lupparelli,Maurizio Vichi Conference proceedings 2023 The Editor(s)

头盔

A Study of Lack-of-Fit Diagnostics for Models Fit to Cross-Classified Binary Variables,. The extended . statistic is obtained by decomposing the Pearson statistic from the full table into orthogonal components defined on marginal distributions. The extended version of the statistic, ., can be applied to a variety of models for cross-classified tables. Simulation results show that . ha

污秽

convulsion

MORPH

Parsimonious Mixtures of Matrix-Variate Shifted Exponential Normal Distributions,lly high number of parameters to be estimated. Thus, in this work we introduce a family of 196 parsimonious mixture models based on the matrix-variate shifted exponential normal distribution, an elliptical heavy-tailed generalization of the matrix-variate normal distribution. Parsimony is introduced

浮雕宝石

Ptosis

多山

Proclaim

1431-8814 ing, and cyber risk.Fosters new directions of research in cl.This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clusterin

解脱

Blood-Vessels

Parsimonious Mixtures of Matrix-Variate Shifted Exponential Normal Distributions,nious matrix-variate normal mixtures, thus allowing for a better modeling of datasets having atypical observations. Parameter estimation is obtained by using an ECM algorithm. The proposed models are then fitted to a real dataset along with parsimonious matrix-variate normal mixtures for comparison purposes.