LUPPARELLI, MONIA
LUPPARELLI, MONIA
Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)
A Bayesian Multiple Ising Model
In corso di stampa Alejandra Avalos Pacheco, Andrea Lazzerini, Monia Lupparelli, Francesco Claudio Stingo
An overview of ARMA-like models for count and binary data
2023 Mirko Armillotta, Alessandra Luati, Monia Lupparelli
Bayesian estimation of graphical log-inear marginal models
2018 Tarantola, C., Ntzoufras, I., Lupparelli, M.
Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models
2009 Guido Consonni; Monia Lupparelli
Bayesian stochastic search for Ising chain graph models
2019 Andrea Lazzerini, Monia Lupparelli, Francesco C. Stingo
Binary models of marginal independence: a comparison of different approaches
2012 Lupparelli M.; La Rocca L.
Causal inference for binary non-independent outcomes
2017 Mattei, A; Lupparelli, M.
Chain graph models of multivariate regression type for categorical data
2011 Marchetti.G.M; Lupparelli.M
Comment: Graphical Marginal Log-Linear Models—A Bayesian Perspective
2013 Tarantola, C.; Ntzoufras, I.; Lupparelli, M.
Comments on: Sequences of regressions and their independencies
2012 Lupparelli, M., Roverato A.
Conditional and marginal relative risk parameters for a class of recursive regression graph models
2019 Monia Lupparelli
Dynamic network models with time-varying nodes
2023 Gherardini L., Bernardi M., Lupparelli M.
Expected posterior priors for model comparison in a class of discrete graphical models
2009 CONSONNI G.; LUPPARELLI, MONIA
Focused information criterion for capture re-capture models for closed populations
2008 F. Bartolucci; M. Lupparelli
Graphical models of marginal independence for categorical variables
2005 Lupparelli, M.
Graphical models of marginal independence for categorical variables
2005 LUPPARELLI MONIA; GIOVANNI MARIA MARCHETTI
Joint and marginal causal effects for binary non-independent outcomes
2020 Lupparelli M.; Mattei A.
LATENT MARKOV MODEL FOR LONGITUDINAL BINARY DATA: AN APPLICATION TO THE PERFORMANCE EVALUATION OF NURSING HOMES
2009 Bartolucci F.; Lupparelli M.; Montanari G. E.
Latent Markov models for evaluating nursing home performances
2007 F. BARTOLUCCI; G.E. MONTANARI; M. LUPPARELLI
Likelihood inference for the latent Markov Rash model
2008 F. Bartolucci; F. Pennoni; M. Lupparelli