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GRID for model structure discovering in high dimensional regression
Given a nonparametric regression model, we assume that the number of covariates d → ∞ but only some of these covariates are relevant for the model. Our goal is to identify the relevant covariates and to obtain some ...
New insights on the relationships between geographic and institutional distance in research collaborations: a long period analysis
This paper analyses the relationship between institutional and geographic distance in scientific collaborations, evaluating the possible changes when a long period (sixteen years) is taken into consideration and discussing ...
Bias-corrected inference for multivariate nonparametric regression: model selection and oracle property
The local polynomial estimator is particularly affected by the curse of di- mensionality. So, the potentialities of such a tool become ineffective for large dimensional applications. Motivated by this, we propose a new ...
Who and where are the co-authors? The relationship between institutional and geographical distance in scientific publications
The main goal of our research is to analyse the relationship between geographical and institutional distance in research collaboration. Given that there is institutional distance if different kinds of institutions ...