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...
| Main Authors: | , , , |
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| Format: | text |
| Language: | eng |
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Cham Springer,
2019
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| Subjects: |
| _version_ | 1826470141773217792 |
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| 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 |
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