Topics on Methodological and Applied Statistical Inference

The three editors are researchers well known to national and international statistical community. In addition, each of them has a large scientific production and the results of their research are published in numerous journals well classified.

• Introducing Prior Information into the Forward Search for Regression.- A Finite Mixture Latent Trajectory Model for Hirings and Separations in the Labor Market.- Outliers in Time Series - An Empirical Likelihood Approach.- Advanced Methods to Design Samples for Land Use/Land Cover Surveys.- Heteroscedasticity, Multiple Populations and Outliers in Trade Data.- How to Marry Robustness and Applied Statistics.- Logistic Quantile Regression to Model Cognitive Impairment in Sardinian Cancer Patients.- Bounding the Probability of Causation in Mediation Analysis.- Analysis of Collaboration Structures though Time - The Case of Technological Districts.- Bayesian Spatio-temporal Modeling of Urban Air Pollution Dynamics.- Clustering Functional Data on Convex Function Spaces.- The Impact of Demographic Change on Sustainability of Emergency Departments.- Bell Shaped Fuzzy Numbers Associated With the Normal Curve.- Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources.- Statistical Issues in Bayesian Meta-Analysis.- Statistical Evaluation of Forensic DNA Mixtures from Multiple Traces.- A Note on Semivariogram.- Geographically Weighted Regression Analysis of Cardiovascular Diseases - Evidence From Canada Health Data.- Pseudo-Likelihoods for Bayesian Inference.