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1. Classification and Multivariate Analysis for Complex Data Structures
edited by Bernard Fichet, Domenico Piccolo, Rosanna Verde, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-13312-1
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2. New Perspectives in Statistical Modeling and Data Analysis : Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9 - 11, 2009
edited by Salvatore Ingrassia, Roberto Rocci, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-11363-5
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3. Classification and Data Mining
edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-28894-4
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目次情報:
Classification and Data Analysis
Data Mining
Applications
Classification and Data Analysis
Data Mining
Applications
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4. Recent Developments in Modeling and Applications in Statistics
edited by Paulo Eduardo Oliveira, Maria da Graça Temido, Carla Henriques, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-32419-2
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Sampling and Modeling
Estimation
Extremes
Testing Statistical Hypothesis
Models with Stochastic Differential Equations
Stochastic Processes.
Sampling and Modeling
Estimation
Extremes
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5. Statistical Models for Data Analysis
edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00032-9
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From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial innovation policy
Clustering and registration of multidimensional functional data
Classifying tourism destinations
On two classes of weighted rank correlation measures deriving from teh Spearman's r
Beanplot data analysis in a temporal framework
Supervised classification of facial expressions
Grouping around different dimensional affine subspaces
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
A new fuzzy method to classify professional profiles from job announcements
A metric based approach for the Least Square Regression of multivariate model symbolic data
A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data
And further articles.
From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
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6. Advances in Statistical Models for Data Analysis. 1st ed. 2015
edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-17377-1
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Using the dglars Package to Estimate a Sparse Generalized Linear Model
A Depth function for Geostatistical Functional Data
Robust Clustering of EU Banking Data
Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model
Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries
Asymptotics in Survey Sampling for High Entropy Sampling Design
A Note On the Use of Recursive Partitioning in Causal Inference
Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach
Families of Parsimonious Finite Mixtures of Regression Models
Quantile Regression for Clustering and Modeling Data
Non-metric MDS Consensus Community Detection
The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models
New Flexible Probability Distributions for Ranking Data
Robust Estimation of Regime Switching Models
Incremental Visualization of Categorical Data
A new Proposal for Tree Model Selection and Visualization
Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys
Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions
Cluster Analysis of Three-way Atmospheric Data
Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW
Parsimonious Generalized Linear Gaussian Cluster-Weighted Models
New perspectives for the MDC Index in Social Research Fields
Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches
Novelty Detection with One-class Support Vector Machines
Using Discrete-time  Multi-State Models to Analyze  Students' University Pathways
Using the dglars Package to Estimate a Sparse Generalized Linear Model
A Depth function for Geostatistical Functional Data
Robust Clustering of EU Banking Data
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7. Data Analysis, Classification and the Forward Search : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005
Zani, Sergio ; Vichi, Maurizio ; Cerioli, Andrea ; Riani, Marco ; SpringerLink (Online service)
出版情報: Berlin, Heidelberg : Springer-Verlag Heidelberg, 2006
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/3-540-35978-8
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8. Advanced Studies in Classification and Data Science. 1st ed. 2020
edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-981-15-3311-2
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Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment
Chapter 2. Multi-citeria classifications in regional development modelling
Chapter 3. Non-parametric latent modeling and network clustering
Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification
Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data
Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center
Chapter 7. Supervised Nested Algorithm for Classification based on K-means
Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness
Chapter 9. Estimation Methods Based on Weighting Clusters
Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis
Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space
Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping
Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory
Chapter 14. External Logistic Biplots for Mixed Types of Data
Chapter 15. Functional clustering approach for analysis of concentration
Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data
Chapter 17. Variable selection for classification of multivariate functional data
Chapter 18. Initial value selection for the alternating least squares algorithm
Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic
Chapter 20. How To Cross the River? - New ‘Distance’Measures
Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model
Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis
Chapter 23. Understanding Malvestuto’s normalized mutual information
Chapter 24. Understanding the Rand index
Chapter 25. Layered Multivariate Regression with Its Applications
Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management?
Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection
Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q
Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey
Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products
Chapter 31. Cluster Distance-Based Regression
Chapter 32. Bayesian network analysis of fashion behaviour
Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral:Mapping
Chapter 34. Well-Being Measures
Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata
Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey
Chapter 37. Changes in the Gendered Division of Labor and Women’s Economic Contributions within Japanese Couples
Chapter 38. Employment structures vs. educational capital in the European Union regions
Chapter 39. The IPUMS Approach to Harmonizing the World’s Population Census Data
Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey
Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment
Chapter 2. Multi-citeria classifications in regional development modelling
Chapter 3. Non-parametric latent modeling and network clustering
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9. Statistical Learning and Modeling in Data Analysis : Methods and Applications. 1st ed. 2021
edited by Simona Balzano, Giovanni C. Porzio, Renato Salvatore, Domenico Vistocco, Maurizio Vichi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: https://doi.org/10.1007/978-3-030-69944-4
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Chapter 1 - Interpreting Effects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale)
Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli)
Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore)
Chapter 4 - Robust model-based learning to discover new wheat varieties and discriminate adulterated kernels in X-ray images (Andrea Cappozzo, Francesca Greselin, and Thomas Brendan Murphy)
Chapter 5 - A dynamic model for ordinal time series: an application to consumers’ perceptions of inflation (Marcella Corduas)
Chapter 6 - Deep learning to jointly analyze images and clinical data for disease detection (Federica Crobu and Agostino Di Ciaccio)
Chapter 7 -Studying Affiliation Networks through Cluster CA and Blockmodeling (Daniela D’Ambrosio, Marco Serino, and Giancarlo Ragozini)
Chapter 8 - Sectioning Procedure on Geostatistical Indices Series of Pavement Road Profiles (Mauro D’Apuzzo, Rose-Line Spacagna, Azzurra Evangelisti, Daniela Santilli, and Vittorio Nicolosi)
Chapter 9 - Directional supervised learning through depth functions: an application to ECG waves analysis (Houyem Demni)
Chapter 10 - Penalized vs. contrained approaches for clusterwise linear regression modelling (Roberto Di Mari, Stefano Antonio Gattone, and Roberto Rocci)
Chapter 11 - Effect measures for group comparisons in a two-component mixture model: a cyber risk analysis (Maria Iannario and Claudia Tarantola)
Chapter 12 - A Cramér–von Mises test of uniformity on the hypersphere (Eduardo García-Portugués, Paula Navarro-Esteban, and Juan Antonio Cuesta-Albertos)
Chapter 13 - On mean and/or variance mixtures of normal distributions (Sharon X. Lee and Geoffrey J. McLachlan)
Chapter 14 - Robust depth-based inference in elliptical models (Stanislav Nagy and Jiří Dvořák)
Chapter 15 - Latent class analysis for the derivation of marketing decisions: An empirical study for BEV battery manufacturers (Friederike Paetz)
Chapter 16 - Small Area Estimation Diagnostics: the Case of the Fay-Herriot Model (Maria Chiara Pagliarella)
Chapter 17 - A comparison between methods to cluster mixed-type data: Gaussian mixtures versus Gower distance (Monia Ranalli and Roberto Rocci)
Chapter 18 - Exploring the gender gap in Erasmus student mobility flows (Marialuisa Restaino, Ilaria Primerano, and Maria Prosperina Vitale)
Chapter 1 - Interpreting Effects in Generalized Linear Modeling (Alan Agresti, Claudia Tarantola, and Roberta Varriale)
Chapter 2 - ACE, AVAS and Robust Data Transformations: Performance of Investment Funds (Anthony C. Atkinson, Marco Riani, Aldo Corbellini, and Gianluca Morelli)
Chapter 3 - Predictive Principal Component Analysis (Simona Balzano, Maja Bozic, Laura Marcis, and Renato Salvatore)