Search Results - "Pedini, Luca"

ParMA : Parallelized Bayesian Model Averaging for Generalized Linear Models by Lucchetti, Riccardo, Pedini, Luca

“…This paper describes the gretl function package ParMA, which provides Bayesian model averaging (BMA) in generalized linear models. In order to overcome the…”
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Cultivation Area Affects the Presence of Fungal Communities and Secondary Metabolites in Italian Durum Wheat Grains by Beccari, Giovanni, Prodi, Antonio, Senatore, Maria Teresa, Balmas, Virgilio, Tini, Francesco, Onofri, Andrea, Pedini, Luca, Sulyok, Michael, Brocca, Luca, Covarelli, Lorenzo

“…In this study, durum wheat kernels harvested in three climatically different Italian cultivation areas (Emilia Romagna, Umbria and Sardinia) in 2015, were…”
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Bayesian regression models in gretl: the BayTool package by Pedini, Luca

“…This article presents the gretl package BayTool which integrates the software functionalities, mostly concerned with frequentist approaches, with Bayesian…”
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Tips and tricks for Bayesian VAR models in gretl by Pedini, Luca

“…Bayesian Vector Autoregressive models have become the natural response to the dense parametrization often required by multivariate time series modeling…”
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The Spherical Parametrisation for Correlation Matrices and its Computational Advantages by Lucchetti, Riccardo, Pedini, Luca

“…In this paper, we analyse the computational advantages of the spherical parametrisation for correlation matrices in the context of Maximum Likelihood…”
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Correction to: The Spherical Parametrisation for Correlation Matrices and its Computational Advantages by Lucchetti, Riccardo, Pedini, Luca

“…Formula (4) in Lucchetti and Pedini (2023) contains a typo. We correct it…”
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Are there other fish in the sea? Exploring the hedge, diversifier and safe-haven features of ESG investments by Pedini, Luca, Severini, Sabrina

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No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation by Lucchetti, Riccardo, Pedini, Luca, Pigini, Claudia

“…Propensity Score Matching is a popular approach to evaluate treatment effects in observational studies. Regrettably, practitioners often overlook the issue of…”
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