Multilevel models for analyzing people's daily movement behavior. - Matteo Bottai; Nicola Salvati; Nicola Orsini (J. Geogr. Syst., 2006)

Small area estimation: the EBLUP estimator based on spatially correlated random area effects. - Monica Pratesi; Nicola Salvati (Stat. Methods Appl., 2008)

M-quantile models with application to poverty mapping. - Nikos Tzavidis; Nicola Salvati; Monica Pratesi; Ray Chambers (Stat. Methods Appl., 2008)

Bootstrap for estimating the MSE of the Spatial EBLUP. - Isabel Molina; Nicola Salvati; Monica Pratesi (Comput. Stat., 2009)

Small area estimation using a nonparametric model-based direct estimator. - Nicola Salvati; Hukum Chandra; Maria Giovanna Ranalli; Ray Chambers (Comput. Stat. Data Anal., 2010)

Small area estimation under spatial nonstationarity. - Hukum Chandra; Nicola Salvati; Ray Chambers; Nikos Tzavidis (Comput. Stat. Data Anal., 2012)

Local stationarity in small area estimation models. - Roberto Benedetti; Monica Pratesi; Nicola Salvati (Stat. Methods Appl., 2013)

Resistance to Outliers of M-Quantile and Robust Random Effects Small Area Models. - Caterina Giusti; Nikos Tzavidis; Monica Pratesi; Nicola Salvati (Commun. Stat. Simul. Comput., 2014)

Finite mixtures of quantile and M-quantile regression models. - Marco Alfò; Nicola Salvati; Maria Giovanna Ranalli (Stat. Comput., 2017)

Small area estimation based on M-quantile models in presence of outliers in auxiliary variables. - Stefano Marchetti; Caterina Giusti; Nicola Salvati; Monica Pratesi (Stat. Methods Appl., 2017)

Small area estimation under a spatially non-linear model. - Hukum Chandra; Nicola Salvati; Ray Chambers (Comput. Stat. Data Anal., 2018)

Robust Bayesian small area estimation based on quantile regression. - Enrico Fabrizi; Nicola Salvati; Carlo Trivisano (Comput. Stat. Data Anal., 2020)

Marginal M-quantile regression for multivariate dependent data. - Luca Merlo; Lea Petrella; Nicola Salvati; Nikos Tzavidis (Comput. Stat. Data Anal., 2022)

A Framework for Producing Small Area Estimates Based on Area-Level Models in R. - Sylvia Harmening; Ann-Kristin Kreutzmann; Sören Schmidt; Nicola Salvati; Timo Schmid (R J., 2023)

Estimating heterogeneous causal effects in observational studies using small area predictors. - Setareh Ranjbar; Nicola Salvati; Barbara Pacini (Comput. Stat. Data Anal., 2023)

Correction to: Finite mixtures of quantile and M-quantile regression models. - Marco Alfò; Nicola Salvati; Maria Giovanna Ranalli (Stat. Comput., 2024)