Advanced statistical methods for the analysis of large data-sets

INDICE: Part I Clustering Large Data-Sets: Clustering Large Data Set: An Applied Comparative Study (Bocci L., Mingo I.). Clustering in Feature Space for Interesting Pattern Identification of Categorical Data (Marino M., Palumbo F.,Tortora C.). Clustering geostatistical functional data (Romano E., Verde R.).-Joint Clustering and Alignment of Functional Data: An Application to Vascu-lar Geometries (Sangalli L.M., Secchi P., Vantini S., Vitelli V.). Part II Statistics in Medicine: Bayesian Methods for Time Course Microarray Analysis: From Genes’ Detection to Clustering (Angelini C., De Canditiis D., Pensky M.). Longitudinal Analysis of Gene Expression Profiles Using Functional Mixed-effects Models (Berk M., Montana G., Levin M., Hemingway C.). A Permutation Solution toCompare two Hepatocellular Carcinoma Markers (Zirilli A., Alibrandi A.). PartIII Integrating Administrative Data: Statistical Perspective on Blocking Methods when Linking Large Data-Sets (Cibella N., Tuoto T.). Integrating Households Income Microdata in the Estimate of the Italian GDP (Coli A., Tartamella F.). The Employment Consequences of Globalization: Linking Data on Employers and Employees in the Netherlands (Fortanier F., Korvorst M., Luppes M.). Applications of Bayesian networks in Official Statistics (Vicard P., Scanu M.). Part IVOutliers and Missing Data: A Correlated Random Effects Model for LongitudinalData with Non-ignorable Drop-out: An Application to University Student Performance (Belloc F., Maruotti A., Petrella L.). Risk Analysis Approaches to rank Outliers in Trade Data (Kopustinskas V., Arsenis S.). Problems and Challenges in the Analysis of Complex Data: Static and Dynamic Approaches (Riani M., Atkinson A., Cerioli A.). Ensemble Support Vector Regression: A New Non-parametricApproach for Multiple Imputation (Scacciatelli D.). Part V Time Series Analysis: On the Use of PLS Regression for Forecasting Large Sets of Cointegrated Time Series (Cubadda G., Guardabascio B.). Large-Scale Portfolio Optimisation with Heuristics (Gilli M., Schumann E.). Detecting Short-Term Cycles in Complex Time Series Databases (Giordano F., Parrella M.L., Restaino M.). Assessing theBeneficial Effects of Economic Growth: The Harmonic Growth Index (Mendola D.,Scuderi R.). Time Series Convergence within I(2) Models: The Case of Weekly Long Term Bond Yields in the four Largest Euro Area Countries (Passamani G.). Part VI Environmental Statistics: Anthropogenic CO2 Emissions and Global Warming: Evidence from Granger Causality Analysis (Bilancia M., Vitale D.). Temporaland Spatial Statistical Methods to Remove External Effects on Groundwater Levels (Imparato D., Carena A., Gasparini M.). Reduced Rank Covariances for the Analysis of Environmental Data (Nicolis O., Nychka D.). Radon Level in Dwellings and Uranium Content in Soil in the Abruzzo Region: A Preliminary Investigation by Geographically Weighted Regression (Nissi E., Sarra A., Palermi S.). Part VII Pro

• ISBN: 978-3-642-21036-5
• Editorial: Springer Berlin Heidelberg
• Encuadernacion: Cartoné
• Páginas: 420
• Fecha Publicación: 30/11/2011
• Nº Volúmenes: 1
• Idioma: Inglés