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The Hierarchical Beta-Bernoulli Process as Out-of-Scope Query Detector 2023 Marco Dalla Pria, Silvia Montagna
Clustering Athlete Performances in Track and Field Sports 2023 Raffaele Argiento, Alessandro Colombi, Lorenzo Modotti, Silvia Montagna
Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods 2023 Berloco C.; Argiento R.; Montagna S.
Bayesian GARCH modeling of functional sports data 2023 Dolmeta, P; Argiento, R; Montagna, S
Bayesian functional mixed effects model for sports data 2022 Patric Dolmeta, Raffaele Argiento, Silvia Montagna
PREDICTIVE POWER OF BAYESIAN CAR MODELS ON SCALE FREE NETWORKS: AN APPLICATION FOR CREDIT RISK 2021 Claudia Berloco, Raffaele Argiento, Silvia Montagna
PREDICTION OF GENE EXPRESSION FROM TRANSCRIPTION FACTORS AFFINITIES: AN APPLICATION OF BAYESIAN NON-LINEAR MODELLING 2021 Federico Marotta, Paolo Provero, Silvia Montagna
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis 2021 Montagna S.; Orani V.; Argiento R.
Estimating the prevalence of missing experiments in a neuroimaging meta-analysis 2020 Samartsidis, Pantelis; Montagna, Silvia; Laird, Angela R; Fox, Peter T; Johnson, Timothy D; Nichols, Thomas E
A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes 2020 Samartsidis P.; Seaman S.R.; Montagna S.; Charlett A.; Hickman M.; Angelis D.D.
Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data 2018 Montagna, Silvia; Wager, Tor; Barrett, Lisa Feldman; Johnson, Timothy D.; Nichols, Thomas E.
A Bayesian Approach for the Use of Athlete Performance Data Within Anti-doping 2018 Silvia Montagna, James Hopker
The coordinate-based meta-analysis of neuroimaging data 2017 Samartsidis, Pantelis; Montagna, Silvia; Johnson, Timothy D.; Nichols, Thomas E.
Computer Emulation with Non-stationary Gaussian Processes 2016 Montagna, S.; Tokdar, S. T.
Bayesian Latent Factor Regression for Functional and Longitudinal Data 2012 Silvia, Montagna; Tokdar, Surya T.; Brian, Neelon; Dunson, David B.
Mostrati risultati da 1 a 15 di 15
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