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Biometrics|April 16, 2020
Bayesian inference of causal effects from observational data in Gaussian graphical modelsFederico Castelletti, Guido ConsonniStatistics in Medicine|November 1, 2022
Bayesian graphical modeling for heterogeneous causal effectsFederico Castelletti, Guido ConsonniBiometrics|July 29, 2024
Joint structure learning and causal effect estimation for categorical graphical modelsFederico Castelletti, Guido Consonni, Marco L Della VedovaStatistics in Medicine|September 24, 2020
Bayesian learning of multiple directed networks from observational dataFederico Castelletti, Luca La Rocca, Stefano Peluso, et al.Psychometrika|April 12, 2024
Learning Bayesian Networks: A Copula Approach for Mixed-Type DataFederico CastellettiPsychometrika|October 6, 2016
Objective Bayesian Comparison of Constrained Analysis of Variance ModelsGuido Consonni, Roberta ParoliStatistics in Medicine|October 22, 2010
Testing Hardy-Weinberg equilibrium: an objective Bayesian analysisGuido Consonni, Elías Moreno, Sergio VenturiniPsychological Methods|August 10, 2023
Bayesian approaches to designing replication studiesSamuel Pawel, Guido Consonni, Leonhard HeldEuropean Journal of Population = Revue Europeenne De Demographie|April 8, 2020
The Measure of Population Aging in Different Welfare Regimes: A Bayesian Dynamic Modeling ApproachRoberta Paroli, Guido Consonni, Alessandro RosinaBiometrics|April 9, 2013
Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priorsDavide Altomare, Guido Consonni, Luca La RoccaPageof 1