LEADER 07366nam 22006375 450 001 9910349342803321 005 20251230065534.0 010 $a3-030-21158-4 024 7 $a10.1007/978-3-030-21158-5 035 $a(CKB)4100000009046481 035 $a(MiAaPQ)EBC5878430 035 $a(DE-He213)978-3-030-21158-5 035 $a(PPN)258865660 035 $a(EXLCZ)994100000009046481 100 $a20190820d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Statistical Developments in Data Science $eSIS 2017, Florence, Italy, June 28-30 /$fedited by Alessandra Petrucci, Filomena Racioppi, Rosanna Verde 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (474 pages) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v288 311 08$a3-030-21157-6 327 $aPART I ? Complex data analytics: A. Balzanella et al., Monitoring the spatial correlation among functional data streams through Moran's Index -- O. Banouar and S. Raghay, User query enrichment for personalized access to data through ontologies using matrix completion method -- C. Drago, Clustering Communities using Interval K-Means -- F. Murtagh, Text Mining and Big Textual Data: Relevant Statistical Models -- G. Ragozini et al., A three-way data analysis approach for analyzing multiplex networks -- M. Ruggieri et al., Comparing FPCA based on conditional quantile functions and FPCA based on conditional mean function -- F. Santelli et al., Statistical archetypal analysis for cognitive categorization -- A. Vanacore and M. S. Pellegrino, Inferring rater agreement with ordinal classification -- PART II ? Knowledge based methods: J. Koskinen et al., Bayesian analysis of ERG models for multilevel, multiplex, and multilayered networks with sampled or missing data -- C. Scricciolo, Bayesian Kantorovich Deconvolution in Finite Mixture Models -- A. Sottosanti et al., Discovering and Locating High-Energy Extra-Galactic\Sources by Bayesian Mixture Modelling -- F. Stefanini and G. Callegaro, Bayesian estimation of causal effects in carcinogenicity tests based upon CTA -- M. Subbiah et al., Performance Comparison of Heterogeneity Measures for count data models in Bayesian Perspective -- PART III ? Sampling techniques for Big Data exploration: M. S. Andreano et al., Sampling and modelling issues using Big Data in now?casting -- M. D?Alò et al., Sample design for the integration of population census and social surveys -- C. De Vitiis et al., Sampling schemes using scanner data for the consumer price index -- S. Polettini and S. Arima, An investigation of Hierarchical and Empirical Bayesian small area predictors under measurement error -- E. Rocco, Indicators for monitoring the survey data quality when non-response or a convenience sample occurs -- PART IV ? DataScience methods for social and population studies: P. Balduzzi et al., The propensity to leave the country of origin of young Europeans -- F. Bassi et al., New Insights on Student Evaluation of Teaching in Italy -- A. Bikauskaite and D. Buono, Eurostat methodological network: Skills mapping for a collaborative statistical office -- M. Costa, The evaluation of the inequality between population subgroups -- M. Manisera et al., Basketball analytics using spatial tracking data -- I. Morlini and M. Scorza, New fuzzy composite indicators for dyslexia -- A. Righi et al., Who tweets in Italian? Demographic characteristics of Twitter users -- PART V ? Applying Data Science in economics and labour market: A. Agapitov et al., An approach to developing a scoring system for peer-to-peer (p2p) lending platform -- P. Mariani et al., What do employers look for when hiring new graduates? Answers from the Electus survey -- A. Mazza and A. Punzo, Modeling Household Income with Contaminated Unimodal Distributions -- G. Punzo et al., Endowments and rewards in the labour market: their role in changing wage inequality in Europe -- V. Voytsekhovska and O. Butzbach, The approach towards the analysis of wage distribution equality dynamics in Poland based on linear dependences -- PART VI ? Mathematical statistics for Data Science: R. Fontana and F. Rapallo, Unions of Orthogonal Arrays and their aberrations via Hilbert bases -- F. Lagona, A copula-based hidden Markov model for toroidal time Series -- A. Lanteri et al., A biased Kaczmarz algorithm for clustered equations -- A. Lepore, Nearly Unbiased Probability Plots for Extreme Value Distributions -- V. Mameli et al., Estimating High-Dimensional Regression Models with Bootstrap group Penalties. 330 $aThis volume collects the extended versions of papers presented at the SIS Conference ?Statistics and Data Science: new challenges, new generations?, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to ?Data Science?. The book covers topics including strong statistical methodologies, Bayesian approaches, applications in population and social studies, studies in economics and finance, techniques of sample design and mathematical statistics. Though the book is mainly intended for researchers interested in the latest frontiers of Statistics and Data Analysis, it also offers valuable supplementary material for students of the disciplines dealt with here.Lastly, it will help Statisticians and Data Scientists recognize their counterparts? fundamental role. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v288 606 $aMathematical statistics$xData processing 606 $aMathematics$xData processing 606 $aBusiness enterprises$xFinance 606 $aStatistics 606 $aStatistics and Computing 606 $aComputational Mathematics and Numerical Analysis 606 $aCorporate Finance 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aMathematical statistics$xData processing. 615 0$aMathematics$xData processing. 615 0$aBusiness enterprises$xFinance. 615 0$aStatistics. 615 14$aStatistics and Computing. 615 24$aComputational Mathematics and Numerical Analysis. 615 24$aCorporate Finance. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 676 $a519.5 702 $aPetrucci$b Alessandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRacioppi$b Filomena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVerde$b Rosanna$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910349342803321 996 $aNew Statistical Developments in Data Science$91732603 997 $aUNINA