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1. 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)
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2. Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions. 1st ed. 2021
edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 375
オンライン: https://doi.org/10.1007/978-3-030-86133-9
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1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model
2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence
3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study
4. Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation
5. Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions
6. A Markov Model of Polygenic Inheritance
7. Bayes Linear Emulation of Simulated Crop Yield
1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model
2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence
3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study
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3. Data Science Techniques for Cryptocurrency Blockchains. 1st ed. 2021
by Innar Liiv
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 9
オンライン: https://doi.org/10.1007/978-981-16-2418-6
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Understanding the Data Model
Exploration with Structured Query Language
Association Rules
Clustering
Classification
Visualization
Network Science
Conclusions
Understanding the Data Model
Exploration with Structured Query Language
Association Rules
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4. Data Analysis and Rationality in a Complex World. 1st ed. 2021
edited by Theodore Chadjipadelis, Berthold Lausen, Angelos Markos, Tae Rim Lee, Angela Montanari, Rebecca Nugent
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/10.1007/978-3-030-60104-1
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Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi)
Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou)
Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov)
Chapter 4 - A generalized coefficient of determination for mixtures of regressions (Roberto Di Mari, Salvatore Ingrassia and Antonio Punzo)
Chapter 5 - Distance measurement when fuzzy numbers are used. Survey of selected problems and procedures (Józef Dziechciarz and Marta Dziechciarz-Duda)
Chapter 6 - Performance measures in discrete supervised classification (Ana Sousa Ferreira and Anabela Marques)
Chapter 7 - Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezołek and Grazyna Trzpiot)
Chapter 8 - Measuring and testing mutual dependence for functional data (Tomasz Górecki, Mirosław Krzysko and Waldemar Wołynski)
Chapter 9 - Single imputation via chunk-wise PCA (Alfonso Iodice D’Enza, Francesco Palumbo and Angelos Markos)
Chapter 10 - Clustering Mixed-Type Data: a benchmark study on KAMILA and K-prototypes (Jarrett Jimeno, Madhumita Roy and Cristina Tortora)
Chapter 11 - Exploring social attitudes towards the green infrastructure plan of the Drama city in Greece (Vassiliki Kazana, Angelos Kazaklis, Dimitrios Raptis, Efthimia Chrisanthidou, Stella Kazakli and Nefeli Zagourgini)
Chapter 12 - Spatial perception for structured and unstructured data in topological data analysis (Yoshitake Kitanishi, Fumio Ishioka, Masaya Iizuka, and Koji Kurihara)
Chapter 13 - Text, Content and Data Analysis of Journal Articles: the field of International Relations (Nikos Koutsoupias and Kyriakos Mikelis)
Chapter 14 - Quantile measures of extreme risk on metals market (Dominik Krezołek and Grazyna Trzpiot)
Chapter 15 - Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot)
Chapter 16 - Specification of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee)
Chapter 17 - Estimation of Classification Rules from Partially Classified Data (Geoffrey McLachlan and Daniel Ahfock)
Chapter 18 - Correspondence Analysis and Kriging: Projection of quantitative information on the factorial maps (George Menexes and Thomas Koutsos)
Chapter 19 - Intertemporal exploratory analysis of e-commerce from Greek households from official statistics data (Stratos Moschidis and Athanasios Thanopoulos)
Chapter 20 - Benchmarking in cluster analysis: a study on Spectral Clustering, DBSCAN, and K-means (Nivedha Murugesan, Irene Cho, and Cristina Tortora)
Chapter 21 - Detection of Topics and Time Series Variation in Consumer Web Communication Data (Atsuho Nakayama)
Chapter 22 - Classification through graphical models: Evidences from the EU-SILC data (Federica Nicolussi, Agnese Maria Di Brisco and Manuela Cazzaro)
Chapter 23 - A simulation study for the identification of missing data mechanisms using visualisation (Johané Nienkemper-Swanepoel, Niël le Roux and Sugnet Gardner-Lubbe)
Chapter 24 - Triplet Clustering of One-Mode Two-Way Proximities (Akinori Okada and Satoru Yokoyama)
Chapter 25 - First-time Voters in Greece: Views and Attitudes of Youth on Europe and Democracy (Georgia Panagiotidou and Theodore Chadjipadelis)
Chapter 26 - Comparison of hierarchical clustering methods for binary data from SSR and ISSR molecular markers (Emmanouil Pratsinakis, Lefkothea Karapetsi, Symela Ntoanidou, Angelos Markos, Panagiotis Madesis, Ilias Eleftherohorinos and George Menexes)
Chapter 27 - One-way repeated measures ANOVA for functional data (Łukasz Smaga)
Chapter 28 - Flexible Clustering (Sokołowski Andrzej and Małgorzata Markowska)
Chapter 29 - Classification of entrepreneurial regimes: a symbolic polygonal clustering approach (Andrej Srakar and Marilena Vecco)
Chapter 30 - Multidimensional factor and cluster analysis vs embedding-based learning for personalised supermarket offer recommendations (George Stalidis, Theodosios Siomos, Pantelis Kaplanoglou, Alkiviadis Katsalis, Iphigenia Karaveli, Marina Delianidi, and Konstantinos Diamantaras)
Chapter 31 - Motivation for Participating in the Sharing Economy: The Case of Hungary (Roland Szilágyi and Levente Lengyel)
Chapter 32 - Benchmarking Minimax Linkage in Hierarchical Clustering (Xiao Hui Tai and Kayla Frisoli)
Chapter 33 - Clustering Binary Data by Application of Combinatorial Optimization Heuristics (Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio and Mario Villalobos-Arias)
Chapter 34 - Classifying Users through Keystroke Dynamics (Ioannis Tsimperidis, Georgios Peikos and Avi Arampatzis)
Chapter 35 - Technological innovation and the critical raw material stock (Beatrix Varga and Kitti Fodor)
Chapter 36 - Redundancy analysis for binary data based on logistic responses (Jose L. Vicente-Villardon and Laura Vicente-Gonzalez)
Chapter 37 - Predictive power of school motivation clusters in secondary education (Matthijs J. Warrens and W. Miro Ebert)
Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi)
Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou)
Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov)
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5. Methods for the Analysis of Asymmetric Proximity Data. 1st ed. 2021
by Giuseppe Bove, Akinori Okada, Donatella Vicari
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Behaviormetrics: Quantitative Approaches to Human Behavior ; 7
オンライン: https://doi.org/10.1007/978-981-16-3172-6
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Introduction
Methods for direct representation of asymmetry
Analysis of symmetry and skew-symmetry
Cluster analysis for asymmetry
Multiway models
Software
Introduction
Methods for direct representation of asymmetry
Analysis of symmetry and skew-symmetry
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6. Time Series Analysis for the State-Space Model with R/Stan. 1st ed. 2021
by Junichiro Hagiwara
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
オンライン: https://doi.org/10.1007/978-981-16-0711-0
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Introduction
Fundamental of probability and statistics
Fundamentals of handling time series data with R
Quick tour of time series analysis
State-space model
State estimation in the state-space model
Batch solution for linear Gaussian state-space model
Sequential solution for linear Gaussian state-space model
Introduction and analysis examples of a well-known component model
Batch solution for general state-space model
Sequential solution for general state-space model
Example of applied analysis in general state-space model
Introduction
Fundamental of probability and statistics
Fundamentals of handling time series data with R
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7. Studies in Theoretical and Applied Statistics : SIS 2021, Pisa, Italy, June 21–25. 1st ed. 2022
edited by Nicola Salvati, Cira Perna, Stefano Marchetti, Raymond Chambers
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 406
オンライン: https://doi.org/10.1007/978-3-031-16609-9
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A. Cutillo, M. Mazziotta, A. Pareto, A Composite Index of Economic Well-being for the European Union Countries
Fulvio De Santis and S. Gubbiotti, Fulvio De Santis and S. Gubbiotti, A dynamic power prior for Bayesian non-inferiority trials
Cinzia Di Nuzzo and S. Ingrassia, A graphical approach for the selection of the number of clusters in the spectral clustering algorithm
M. Cefis and M. Carpita, A Higher-Order PLS-SEM approach to evaluate football players’ performance
Simone Del Sarto and P. Coppola and M. Troìa, A latent Markov approach for clustering contracting authorities over time using public procurement red flags
I. Primerano, F. Santelli and C. Usala, A multiplex network approach for analyzing university students’ mobility flows
A. Briglia, M. Mucciardi and G. Pirrotta, A statistical model for predicting child language acquisition: unfolding qualitative grammatical development by using logistic regression model
Fulvio Di Stefano and M. Gasparini, Adaptive COVID-19 screening of a subpopulation
D. Barro, M. Corazza and M. Nardon, Alternative probability weighting functions in behavioral portfolio selection
C. Scricciolo, Bayesian Quantile Estimation in Deconvolution
M. Templ, Can the Compositional Nature of Compositional Data be Ignored by using Deep Learning Approaches?
M. Pratesi, Citizen Data and Citizen Science: a challenge for Official Statistics
M. Flora and R. Renò, Detecting states of distress in financial markets: the case of the Italian sovereign debt
Forecasting combination of hierarchical time series: a novel method with an application to CoVid-19
Raffaele Mattera and Germana Scepi, Frequency domain clustering: an application to time series with time-varying parameters
Raffaele Grotti, Heterogeneous Income Dynamics
Carlo Cavicchia, Pasquale Sarnacchiaro and Paolo Montuori, How much do Knowledge about and Attitude toward mobile phone use affect Behavior while driving? An empirical study using a Structural Equation Model
Isabella Morlini, Impact of emergency online classes on students’ motivation and engagement in University during the Covid-19 pandemic: A study case
Federico Benassi, Annalisa Busetta*, Gerardo Gallo, Manuela Stranges, Local heterogeneities in population growth and decline. A spatial analysis of Italian municipalities
Elias Fekhari, Bertrand Iooss, Joseph Muré, Luc Pronzato, and Maria-João Rendas, Model predictivity assessment: incremental test-set selection and accuracy evaluation
Antonio Naimoli, Giuseppe Storti, Multiple measures Realized GARCH models
Venera Tomaselli, Giulio Giacomo Cantone, and Vincenzo Miracula, Multiversal Methods in Observational Studies: The Case of COVID-19
Fiorenzo Ambrosino, Giuseppe Giannini, Antonio Lepore, Biagio Palumbo, Gianluca Sposito
Neural network for the statistical process control of HVAC systems in passenger rail vehicles
Salvatore D. Tomarchio, Antonio Punzo and Luca Bagnato, On the use of the matrix-variate tail-inflated normal distribution for parsimonious mixture modeling
Tiziana Tuoto, Davide Di Cecco and Andrea Tancredi, Population size estimation by repeated identifications of units. A Bayesian semi-parametric mixture model approach
Ivan Sciascia, Andrea Crosino, Gennaro Carotenuto, Andrea Genre, Spatial interdependence of mycorrhizal nuclear size in confocal microscopy
Federica Piersimoni and Francesco Pantalone and Roberto Benedetti, Spatially balanced indirect sampling to estimate the coverage of the agricultural census
Michele Costa, The assessment of environmental and income inequalities
Righi A., Catanese E., Valentino L., Zardetto D., The Italian Social Mood on Economy Index during the Covid-19 Crisis
Maria Maddalena Barbieri, Francesca Bassi, Antonio Irpino, Rosanna Verde, The rating of journals and the research outcomes in Statistical Sciences in Italian Universities
Mauro Bruno, Francesca Inglese, Giuseppina Ruocco, Trusted Smart Surveys: architectural and methodological challenges related to new data sources
Elena Grimaccia, Alessia Naccarato, Gerardo Gallo, Web surveys: profiles of respondents to the Italian Population Census
A. Cutillo, M. Mazziotta, A. Pareto, A Composite Index of Economic Well-being for the European Union Countries
Fulvio De Santis and S. Gubbiotti, Fulvio De Santis and S. Gubbiotti, A dynamic power prior for Bayesian non-inferiority trials
Cinzia Di Nuzzo and S. Ingrassia, A graphical approach for the selection of the number of clusters in the spectral clustering algorithm