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Statistical Models and Methods for Data Science / / edited by Leonardo Grilli, Monia Lupparelli, Carla Rampichini, Emilia Rocco, Maurizio Vichi
Statistical Models and Methods for Data Science / / edited by Leonardo Grilli, Monia Lupparelli, Carla Rampichini, Emilia Rocco, Maurizio Vichi
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (viii, 188 pages) : illustrations
Disciplina 005.7
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Mathematical statistics - Data processing
Quantitative research
Machine learning
Statistics
Artificial intelligence - Data processing
Statistics and Computing
Data Analysis and Big Data
Statistical Learning
Statistical Theory and Methods
Applied Statistics
Data Science
Dades massives
Estadística matemàtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031301643
3031301641
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Clustering financial time series by dependency -- The Homogeneity Index as a Measure of Interrater Agreement for Ratings on a Nominal Scale -- Hierarchical clustering of income data based on share densities -- Optimal Coding of High Cardinality Categorical Data in Machine Learning -- Bayesian Multivariate Analysis of Mixed data -- Marginals matrix under a generalized Mallows model based on the power divergence -- Time series clustering based on forecast distributions: an empirical analysis on production indices for construction -- Partial Reconstruction of Measures from Halfspace Depth -- Posterior Predictive Assessment of IRT Models via the Hellinger Distance: A Simulation Study -- Shapley Lorenz values for credit risk management -- A study of lack-of-fit diagnostics for models fit to cross-classified binary variables -- Robust Response Transformations for Generalized Additive Models via Additivity and Variance Stabilisation -- A Random-Coefficients Analysis with a Multivariate Random-Coefficients Linear Model -- Parsimonious mixtures of matrix-variate shifted exponential normal distributions.
Record Nr. UNINA-9910735775003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical Models for Data Analysis / / edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
Statistical Models for Data Analysis / / edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (413 p.)
Disciplina 006.312
Altri autori (Persone) GiudiciPaolo
IngrassiaSalvatore
VichiMaurizio <1959->
Collana Studies in Classification, Data Analysis, and Knowledge Organization
Soggetto topico Statistics
Data mining
Social sciences - Statistical methods
Educational tests and measurements
Artificial intelligence
Statistical Theory and Methods
Data Mining and Knowledge Discovery
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics in Business, Management, Economics, Finance, Insurance
Assessment and Testing
Artificial Intelligence
ISBN 3-319-00032-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.  .
Record Nr. UNINA-9910741178403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui