Stastistical Learning of Complex Data /

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphica...

Full description

Bibliographic Details
Main Authors: Greselin, Francesca, editor 636170, Deldossi, Laura, editor 636171, Bagnato, Luca, editor 636172, Vichi, Maurizio, 1959-, editor 453167
Format: text
Language:eng
Published: Cham Springer, 2019
Subjects:
_version_ 1826470141773217792
author Greselin, Francesca, editor 636170
Deldossi, Laura, editor 636171
Bagnato, Luca, editor 636172
Vichi, Maurizio, 1959-, editor 453167
author_facet Greselin, Francesca, editor 636170
Deldossi, Laura, editor 636171
Bagnato, Luca, editor 636172
Vichi, Maurizio, 1959-, editor 453167
author_sort Greselin, Francesca, editor 636170
collection OCEAN
description This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks.
first_indexed 2024-03-05T16:43:48Z
format text
id KOHA-OAI-TEST:592760
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-04-09T03:42:02Z
publishDate 2019
publisher Cham Springer,
record_format dspace
spelling KOHA-OAI-TEST:5927602024-03-18T06:54:10ZStastistical Learning of Complex Data / Greselin, Francesca, editor 636170 Deldossi, Laura, editor 636171 Bagnato, Luca, editor 636172 Vichi, Maurizio, 1959-, editor 453167 textCham Springer,©20192019engThis book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks.Includes bibliographical referencesPreface.- Contributors.- Part I Clustering and Classification.- 1.1 Cluster Weighted Beta Regression: a simulation study.- 1.2 Detecting wine adulterations employing robust mixture of Factor Analyzers.- 1.3 Simultaneous supervised and unsupervised classification modeling for assessing cluster analysis and improving results interpretability.- 1.4 A parametric version of probabilistic distance clustering.- 1.5 An overview on the URV Model-Based Approach to Cluster Mixed-Type Data.- Part II Exploratory Data Analysis.- 2.1 Preference Analysis of Architectural Facades by Multidimensional Scaling and Unfolding.- 2.2 Community Structure in Co-authorship Networks: the Case of Italian Statisticians.- 2.3 Analyzing Consumers' Behaviour in Brand Switching.- 2.4 Evaluating the Quality of Data Imputation in Cardiovascular Risk studies Through the Dissimilarity Profile Analysis.- Part III Statistical Modeling.- 3.1 Measuring Economic Vulnerability: a Structural Equation Modeling Approach.- 3.2 Bayesian Inference for a Mixture Model on the Simplex.- 3.3 Stochastic Models for the Size Distribution of Italian Firms: A Proposal.- 3.4 Modeling Return to Education in Heterogeneous Populations. An application to Italy.- 3.5 Changes in Couples' Bread-winning Patterns and Wife's Economic Role in Japan from 1985 to 2015.- 3.6 Weighted Optimization with Thresholding for Complete-Case Analysis.- Part IV Graphical Models.- 4.1 Measurement Error Correction by NonParametric Bayesian Networks: Application and Evaluation.- 4.2 Copula Grow-Shrink Algorithm for Structural Learning.- 4.3 Context-Specific Independencies Embedded in Chain Graph Models of Type I.- Part V Big Data Analysis.- 5.1 Big Data and Network Analysis: A combined Approach to Model Online News.- 5.2 Experimental Design Issues in Big Data. The Question of Bias.This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks.Data miningURN:ISBN:9783030211394
spellingShingle Data mining
Greselin, Francesca, editor 636170
Deldossi, Laura, editor 636171
Bagnato, Luca, editor 636172
Vichi, Maurizio, 1959-, editor 453167
Stastistical Learning of Complex Data /
title Stastistical Learning of Complex Data /
title_full Stastistical Learning of Complex Data /
title_fullStr Stastistical Learning of Complex Data /
title_full_unstemmed Stastistical Learning of Complex Data /
title_short Stastistical Learning of Complex Data /
title_sort stastistical learning of complex data
topic Data mining
work_keys_str_mv AT greselinfrancescaeditor636170 stastisticallearningofcomplexdata
AT deldossilauraeditor636171 stastisticallearningofcomplexdata
AT bagnatolucaeditor636172 stastisticallearningofcomplexdata
AT vichimaurizio1959editor453167 stastisticallearningofcomplexdata