Statistical Learning, Sustainability and Impact Evaluation
portes grátis
Statistical Learning, Sustainability and Impact Evaluation
SIS 2023, Ancona, Italy, June 21-23
Recchioni, Maria Cristina; Crocetta, Corrado; Ingrassia, Salvatore; Chelli, Francesco Maria
Springer Nature Switzerland AG
04/2026
224
Dura
Inglês
9783032106292
Pré-lançamento - envio 15 a 20 dias após a sua edição
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PART 1: Advanced Statistical Methods and Modeling, The Italian experience on register-based statistics considering measurement, coverage and sampling errors.- Generalized separation scores for ranking partially ordered data.- Bayesian nonparametric mixing distribution estimation in the Gaussian-smoothed 1-Wasserstein distance.- On the probability of success of a reliability experiment.- CovBootTree: Proper Bayesian Bootstrap Ensembled Trees with Cholesky Multivariate Distribution.- Probabilistic Principal Components and the BLUP jointly in a new predictor: an Application to Well-Being Italian Data.-An Importance Sampling Algorithm For Bayesian Logistic Regression with Scale Mixture of Gaussian Priors.- PART 2: Socio-Economic and Health Analysis, Patterns of flexible employment careers. Does measurement error matter?.- Italians and sustainability: a consciousness to be strengthened.- Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients.- Connected threads: Africa, HIV and Intimate Partner Violence using the INLA-SPDE approach.- ESG Score and Volatility in the European Stock Market.- Using matrix-variate hidden Markov regressions for analyzing crime data.- Assessing Academic Career Progression: A Cox Proportional Hazard Model for Stagnant Levels.- PART 3: Urban Systems, Mobility, and Environmental Management, Unveiling the dynamic of traffic-crowding relation through mobile phone big data analysis.- Analysing the relationship between traffic flows, road infrastructure, and car crashes data: an approach based on spatiotemporal point patterns on linear networks.- Evaluating economic and ecological efficiency of Italian waste management systems using parametric and non-parametric methods.
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Data Analysis and Classification ;Education and students' assessment;Environmental and Sustainability assessment;Population and health dynamics;Machine and Statistical Learning ;Spatial and Spatio-Temporal Modeling;Statistical indicators
PART 1: Advanced Statistical Methods and Modeling, The Italian experience on register-based statistics considering measurement, coverage and sampling errors.- Generalized separation scores for ranking partially ordered data.- Bayesian nonparametric mixing distribution estimation in the Gaussian-smoothed 1-Wasserstein distance.- On the probability of success of a reliability experiment.- CovBootTree: Proper Bayesian Bootstrap Ensembled Trees with Cholesky Multivariate Distribution.- Probabilistic Principal Components and the BLUP jointly in a new predictor: an Application to Well-Being Italian Data.-An Importance Sampling Algorithm For Bayesian Logistic Regression with Scale Mixture of Gaussian Priors.- PART 2: Socio-Economic and Health Analysis, Patterns of flexible employment careers. Does measurement error matter?.- Italians and sustainability: a consciousness to be strengthened.- Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients.- Connected threads: Africa, HIV and Intimate Partner Violence using the INLA-SPDE approach.- ESG Score and Volatility in the European Stock Market.- Using matrix-variate hidden Markov regressions for analyzing crime data.- Assessing Academic Career Progression: A Cox Proportional Hazard Model for Stagnant Levels.- PART 3: Urban Systems, Mobility, and Environmental Management, Unveiling the dynamic of traffic-crowding relation through mobile phone big data analysis.- Analysing the relationship between traffic flows, road infrastructure, and car crashes data: an approach based on spatiotemporal point patterns on linear networks.- Evaluating economic and ecological efficiency of Italian waste management systems using parametric and non-parametric methods.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
