13 citations · 17 across the 6 of their papers we have counts for
7 papers
Exploring Anisotropy Contributions in MnCoFeO Ferrite Nanoparticles for Biomedical Applications
Marianna Gerina, Marco Sanna Angotzi, Valentina Mameli +7
Designing well-defined magnetic nanomaterials is crucial for various applications and it demands a comprehensive understanding of their magnetic properties at the microscopic level…
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio
Alessandra R. Brazzale, Valentina Mameli
This paper reviews the most common situations where one or more regularity conditions which underlie classical likelihood-based parametric inference fail. We identify three main cl…
Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
Paolo Girardi, Luca Greco, Valentina Mameli +4
We discuss an approach for fitting robust nonlinear regression models, which can be employed to model and predict the contagion dynamics of the Covid-19 in Italy. The focus is on t…
The Hyvärinen scoring rule in Gaussian linear time series models
Silvia Columbu, Valentina Mameli, Monica Musio +1
Likelihood-based estimation methods involve the normalising constant of the model distributions, expressed as a function of the parameter. However in many problems this function is…
Comparisons of Hyvärinen and pairwise estimators in two simple linear time series models
Valentina Mameli, Monica Musio, A. Philip Dawid
The aim of this paper is to compare numerically the performance of two estimators based on Hyvärinen's local homogeneous scoring rule with that of the full and the pairwise maximum…
A Generalization of the Skew-Normal Distribution: The Beta Skew-Normal
Valentina Mameli, Monica Musio
The aim of this article is to introduce a new family of distributions, which generalizes the skew normal distribution (SN). This new family, called Beta skew-normal (BSN), arises n…
Using Integrated Nested Laplace Approximation for Modeling Spatial Healthcare Utilization
Erik A. Sauleau, Valentina Mameli, Monica Musio
In recent years, spatial and spatio-temporal modeling have become an important area of research in many fields (epidemiology, environmental studies, disease mapping). In this work…