Statistical Learning and Modeling in Data Analysis : Methods and Applications. 1st ed. 2021
- フォーマット:
- 電子ブック
- 責任表示:
- edited by Simona Balzano, Giovanni C. Porzio, Renato Salvatore, Domenico Vistocco, Maurizio Vichi
- 言語:
- 英語
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2021
- 形態:
- VIII, 182 p. 40 illus., 26 illus. in color : online resource
- 著者名:
Balzano, Simona Porzio, Giovanni C. Salvatore, Renato Vistocco, Domenico Vichi, Maurizio SpringerLink (Online service) - シリーズ名:
- Studies in Classification, Data Analysis, and Knowledge Organization ;
- 目次情報:
-
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) 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) - 書誌ID:
- IT00016977
- ISBN:
- 9783030699444 [3030699447]
9783030699451 [3030699455]
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