2 citations · 4 across the 4 of their papers we have counts for
5 papers
Bayesian GARCH Modeling of Functional Sports Data
Patric Dolmeta, Raffaele Argiento, Silvia Montagna
The use of statistical methods in sport analytics has gained a rapidly growing interest over the last decade, and nowadays is common practice. In particular, the interest in unders…
MCMC computations for Bayesian mixture models using repulsive point processes
Mario Beraha, Raffaele Argiento, Jesper Møller +1
Repulsive mixture models have recently gained popularity for Bayesian cluster detection. Compared to more traditional mixture models, repulsive mixture models produce a smaller num…
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
Silvia Montagna, Vanessa Orani, Raffaele Argiento
In professional tennis, it is often acknowledged that the server has an initial advantage. Indeed, the majority of points are won by the server, making the serve one of the most im…
Is infinity that far? A Bayesian nonparametric perspective of finite mixture models
Raffaele Argiento, Maria De Iorio
Mixture models are one of the most widely used statistical tools when dealing with data from heterogeneous populations. This paper considers the long-standing debate over finite mi…
A priori truncation method for posterior sampling from homogeneous normalized completely random measure mixture models
Raffaele Argiento, Ilaria Bianchini, Alessandra Guglielmi
This paper adopts a Bayesian nonparametric mixture model where the mixing distribution belongs to the wide class of normalized homogeneous completely random measures. We propose a…