1 citations · 1 across the 2 of their papers we have counts for
3 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…
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…
Spatial Bayesian Latent Factor Regression Modeling of Coordinate-based Meta-analysis Data
Silvia Montagna, Tor Wager, Lisa Feldman-Barrett +2
Now over 20 years old, functional MRI (fMRI) has a large and growing literature that is best synthesised with meta-analytic tools. As most authors do not share image data, only the…