LEADER 05335nam 22007215 450 001 9911031662903321 005 20251001130449.0 010 $a3-031-84702-4 024 7 $a10.1007/978-3-031-84702-8 035 $a(CKB)41521030000041 035 $a(MiAaPQ)EBC32323734 035 $a(Au-PeEL)EBL32323734 035 $a(DE-He213)978-3-031-84702-8 035 $a(OCoLC)1547906670 035 $a(EXLCZ)9941521030000041 100 $a20251001d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Models and Learning Methods for Complex Data /$fedited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (312 pages) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-031-84701-6 327 $a- 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. 330 $aThis book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11?13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports. Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results. Chapter "Identification of misogynistic accounts on Twitter through Graph Convolutional Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aMathematical statistics$xData processing 606 $aStatistics 606 $aStatistics 606 $aData mining 606 $aQuantitative research 606 $aStatistics and Computing 606 $aStatistical Theory and Methods 606 $aApplied Statistics 606 $aData Mining and Knowledge Discovery 606 $aData Analysis and Big Data 615 0$aMathematical statistics$xData processing. 615 0$aStatistics. 615 0$aStatistics. 615 0$aData mining. 615 0$aQuantitative research. 615 14$aStatistics and Computing. 615 24$aStatistical Theory and Methods. 615 24$aApplied Statistics. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Analysis and Big Data. 676 $a519.5 700 $aGiordano$b Giuseppe$09404 701 $aLa Rocca$b Michele$0116893 701 $aNiglio$b Marcella$0614197 701 $aRestaino$b Marialuisa$01460491 701 $aVichi$b Maurizio$0117728 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911031662903321 996 $aStatistical Models and Learning Methods for Complex Data$94444160 997 $aUNINA