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Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
| Advances in Statistical Models for Data Analysis / / edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Social sciences - Statistical methods Statistical Theory and Methods Statistics and Computing Statistics in Business, Management, Economics, Finance, Insurance Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-319-17377-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910300242403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi
| Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 340 p. 83 illus., 48 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Data mining Mathematical statistics Mathematics Operations research Decision making Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory |
| ISBN | 3-030-25147-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Methodological Developments in Data Science.-Aviation Data Analysis by Linear Programming in Airline Network Revenue Management -- Bayesian Reduced Rank Regression for Classification -- Modelling and classification of GC/IMS breath gas measurements for lozenges of different flavours -- The Cosine Depth Distribution Classifier for Directional Data -- A Nonconformity Ratio Based Desirability Function for Capability Assessment -- Part II Computational Statistics -- Heteroscedastic Discriminant Analysis using R -- Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco -- Part III Perspectives on Statistics and Data Science -- A Note on Artificial Intelligence and Statistics -- Statistical Computing and Data Science in Introductory Statistics -- Approaching Ethical Guidelines for Data Scientists -- Part IV Statistics in Econometric Applications -- Dating Lower Turning Points of Business Cycles – a Multivariate Linear Discriminant Analysis for Germany 1984 to 2009 -- Partial Orderings of Default Predictions -- Improving GMM efficiency in dynamic models for panel data with mean stationarity -- Part V Statistics in Industrial Applications -- Economically designed Bayesian np control charts using dual sample sizes for long-run processes -- Statistical analysis of the lifetime of diamond impregnated tools for core drilling of concrete -- Detection of anomalous sequences in crack data of a bridge monitoring -- Optimal Semi-Split-Plot Designs with R -- Continuous process monitoring through ensemble based anomaly detection -- Part VI Statistics in Music Applications -- Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music -- The Psychological Foundations of Classification. |
| Record Nr. | UNINA-9910349330403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Classification and Data Mining / / edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi
| Classification and Data Mining / / edited by Antonio Giusti, Gunter Ritter, Maurizio Vichi |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina |
006.3
006.312 |
| Altri autori (Persone) |
GiustiAntonio
RitterGunter VichiMaurizio |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Database management Data mining Statistical Theory and Methods Database Management Data Mining and Knowledge Discovery |
| ISBN |
1-283-94560-6
3-642-28894-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification and Data Analysis -- Data Mining -- Applications. |
| Record Nr. | UNINA-9910438147903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Classification, (Big) Data Analysis and Statistical Learning / / edited by Francesco Mola, Claudio Conversano, Maurizio Vichi
| Classification, (Big) Data Analysis and Statistical Learning / / edited by Francesco Mola, Claudio Conversano, Maurizio Vichi |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (243 pages) : illustrations (some color) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Data mining Big data Statistical Theory and Methods Statistics and Computing Statistics in Business, Management, Economics, Finance, Insurance Data Mining and Knowledge Discovery Big Data |
| ISBN | 3-319-55708-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rank Properties for Centred Three-way Arrays – C. Albers (Univ. of Groningen) et al -- Principal Component Analysis of Complex Data and Application to Climatology – S. Camiz (La Sapienza Univ. of Rome) et al -- Clustering upper level units in multilevel models for ordinal data – L. Grilli (Univ. of Florence) et al -- A Multilevel Heckman Model To Investigate Financial Assets Among Old People In Europe – O. Paccagnella (univ. of Padua) et al -- Multivariate stochastic downscaling with semicontinuous data – L. Paci (univ. of Bologna) et al -- Motivations and expectations of students’ mobility abroad: a mapping technique – V. Caviezel (Univ. of Bergamo) et al -- Comparing multi-step ahead forecasting functions for time series clustering – M. Corduas (Univ. of Naples Federico II) et al -- Electre Tri-Machine Learning Approach to the Record Linkage – V. Minnetti (La Sapienza Univ. of Rome) et al -- . MCA Based Community Detection – C. Drago (Univ. of Rome Niccolò Cusano) -- Classi fying social roles by network structures – S. Gozzo (univ. of Catania) et al -- Bayesian Networks For Financial Markets Signals Detection – A. Greppi (univ.of Pavia) et al -- Finite sample behaviour of MLE in network autocorrelation models – M. La Rocca (Univ. of Salerno) et al -- Classification Models as Tools of Bankruptcy Prediction – Polish Experience – J. Pochiecha (Cracow university) et al -- Clustering macroseismic fields by statistical data depth functions – C. Agostinelli (Univ. of Trento) -- Depth based tests for circular antipodal symmetry – G. Pandolfo (Univ. of Cassino) et al -- Estimating The Effect Of Prenatal Care On Birth Outcomes – E. Sironi (Sacro Cuore University) et al -- Bifurcations And Sunspots In Continuous Time Optimal Models With Externalities – B.Venturi (Univ. of Cagliari) et al -- Enhancing Big Data Exploration with Faceted Browsing – S. Bergamaschi (Univ. of Modena and Reggio Emilia) et al -- Big data meet pharmaceutical industry: an application on social media data – C. Liberati (Univ. of Milan Bicocca) et al -- From Big Data to information: statistical issues through a case study – S. Signorelli (Univ. of Bergamo) et al -- Quality of Classification approaches for the quantitative analysis of international conflict – A.F.X. Wilhelm (Jacobs Univ. Bremen) -- P-splines based clustering as a general framework: some applications using different clustering algorithms – C. Iorio (Univ. of Naples Federico II) et al -- A graphical copula-based tool for detecting tail dependence – R. Pappadà (univ. of Trieste) et al -- Comparing spatial and spatio-temporal FPCA to impute large continuous gaps in space – M. Ruggeri (Univ. of Palermo) et al -- Exploring Italian students’ performances in the SNV test: a quantile regression perspective – A. Costanzo (National Institute for the Evaluation of Education and Training – INVALSI) et al. . |
| Record Nr. | UNINA-9910300126103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi
| Data Science : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (346 pages) : color illustrations |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Data mining Mathematical statistics - Data processing Big data Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing Big Data Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics in Business, Management, Economics, Finance, Insurance |
| ISBN | 3-319-55723-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions. |
| Record Nr. | UNINA-9910254277903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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High-quality and Timely Statistics : New Methods and Applications / / edited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria
| High-quality and Timely Statistics : New Methods and Applications / / edited by Marco Mingione, Maurizio Vichi, Giorgia Zaccaria |
| Autore | Mingione Marco |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
VichiMaurizio
ZaccariaGiorgia |
| Collana | Studies in Theoretical and Applied Statistics |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Sampling (Statistics) Quantitative research Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistics in Business, Management, Economics, Finance, Insurance Methodology of Data Collection and Processing Data Analysis and Big Data Applied Statistics |
| ISBN | 3-031-63630-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910899898203321 |
Mingione Marco
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Learning of Complex Data / / edited by Francesca Greselin, Laura Deldossi, Luca Bagnato, Maurizio Vichi
| Statistical Learning of Complex Data / / edited by Francesca Greselin, Laura Deldossi, Luca Bagnato, Maurizio Vichi |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 201 p. 37 illus., 11 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Data mining Quantitative research Statistical Theory and Methods Statistics and Computing Data Mining and Knowledge Discovery Applied Statistics Data Analysis and Big Data |
| ISBN | 3-030-21140-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910349337803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Models and Learning Methods for Complex Data / / edited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi
| Statistical Models and Learning Methods for Complex Data / / edited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi |
| Autore | Giordano Giuseppe |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (312 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
La RoccaMichele
NiglioMarcella RestainoMarialuisa VichiMaurizio |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Data mining Quantitative research Statistics and Computing Statistical Theory and Methods Applied Statistics Data Mining and Knowledge Discovery Data Analysis and Big Data |
| ISBN | 3-031-84702-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | - Exploring latent evolving ability in test equating and its effects on final rankings -- Hidden Markov and related discrete latent variable models An application to compositional data -- An application of Natural Language Processing Analysis on TripAdvisor Reviews -- Modelling football players field position via mixture of Gaussians with flexible weights -- Estimation Issues in Multivariate Panel Data -- Testing linearity in the single functional index model for dependent data -- A multi-step approach for streamflow classification -- Identification of misogynistic accounts on Twitter through Graph Convolutional Networks -- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business -- Circular kernel classification with errors-in-variables -- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics -- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo -- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network -- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections -- Improving Performance in Neural Networks by Dendrite-Activated Connection -- Regression models with compositional regressors in case of structural zeros -- Multi-Dimensional Robinson Dissimilarities -- Composite selection criteria for the number of components of a finite mixture for ordinal data -- Clustering of Italian higher education institutions based on a destination–specific approach -- Analyzing Italian crime data using matrix-variate hidden Markov models. |
| Record Nr. | UNINA-9911031662903321 |
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Giordano Giuseppe
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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