Regression Graph Models for Categorical Data

Monia Lupparelli is an Associate Professor at the Department of Statistics, Computer Science and Applications, University of Florence, Italy. Besides graphical Markov models and categorical data analysis, her main research interests include causal inference with emphasis on statistical methods for causal discovery, statistical models for the analysis of dynamic network data, and latent Markov models for longitudinal data analysis with application in several fields.Giovanni Maria Marchetti is a Full Professor at the Department of Statistics, Computer Science and Applications, University of Florence, Italy. His research interests include the theory and applications of multivariate analysis, generalized linear models for circular data and graphical Markov models. His more recent publications concern the representations of independencies in chain and mixed graphs and the properties of the symmetric Ising distributions.Claudia Tarantola is a Full Professor at the Department of Economics, Management and Quantitative Methods, University of Milan, Italy. Besides graphical models and categorical data analysis, her research interests include Bayesian methods, Markov Chain Monte Carlo techniques, statistical models for financial risk, data science, and quantitative methods for diversity and inclusion.

• Preface.- 1 Regression Graph Models.- 2 Multivariate Logistic Regression Models.- 3 Maximum Likelihood Inference.- 5 Bayesian Inference.- References.- Index.