Statistical Learning of Complex Data

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Greselin, Francesca (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Deldossi, Laura (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bagnato, Luca (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vichi, Maurizio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Classification, Data Analysis, and Knowledge Organization,
• Θέματα: Statistics .; Data mining.; Big data.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Data Mining and Knowledge Discovery.; Applied Statistics.; Big Data/Analytics.

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...

Πίνακας περιεχομένων:

• Preface
• 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.