68 citations · 73 across the 6 of their papers we have counts for
6 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…
High-dimensional Bayesian Fourier Analysis For Detecting Circadian Gene Expressions
Silvia Montagna, Irina Irincheeva, Surya T. Tokdar
In genomic applications, there is often interest in identifying genes whose time-course expression trajectories exhibit periodic oscillations with a period of approximately 24 hour…
The coordinate-based meta-analysis of neuroimaging data
Pantelis Samartsidis, Silvia Montagna, Thomas E. Nichols +1
Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and th…
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…
Computer emulation with non-stationary Gaussian processes
Silvia Montagna, Surya T. Tokdar
Gaussian process (GP) models are widely used to emulate propagation uncertainty in computer experiments. GP emulation sits comfortably within an analytically tractable Bayesian fra…