9 citations · 13 across the 6 of their papers we have counts for
7 papers
A NuSTAR study of quasi-periodic oscillations from the ultraluminous X-ray sources in M82
Hamza El Byad, Matteo Bachetti, Silvia Columbu +13
The study of quasi-periodic oscillations in X-ray binaries provides valuable insights into the physics of accretion around compact objects. The M82 galaxy hosts two ultraluminous X…
A scientometric analysis of the effect of COVID-19 on the spread of research outputs
Gianpaolo Zammarchi, Andrea Carta, Silvia Columbu +2
The spread of the Sars-COV-2 pandemic in 2020 had a huge impact on the life course of all of us. This rapid spread has also caused an increase in the research production in topics…
Comparison of two coefficients of variation: a new Bayesian approach
Francesco Bertolino, Silvia Columbu, Mara Manca +1
The coefficient of variation is a useful indicator for comparing the spread of values between dataset with different units or widely different means. In this paper we address the p…
Modeling sign concordance of quantile regression residuals with multiple outcomes
Silvia Columbu, Paolo Frumento, Matteo Bottai
Quantile regression permits describing how quantiles of a scalar response variable depend on a set of predictors. Because a unique definition of multivariate quantiles is lacking,…
Interpreting the outcomes of research assessments: a geometrical approach
Beniamino Cappelletti-Montano, Silvia Columbu, Stefano Montaldo +1
Research evaluations and comparison of the assessments of academic institutions (scientific areas, departments, universities etc.) are among the major issues in recent years in hig…
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…
A Note on Bayesian Model Selection for Discrete Data Using Proper Scoring Rules
A. Philip Dawid, Monica Musio, Silvia Columbu
We consider the problem of choosing between parametric models for a discrete observable, taking a Bayesian approach in which the within-model prior distributions are allowed to be…