Alan Agresti: Simple ways to interpret effects in modeling categorical data

Giuseppe Alfonzetti: Pairwise stochastic approximation for categorical factor models 

Francesco Bartolucci: A Bayesian multi-model prediction framework with binary longitudinal data

Luca Brusa: Addressing latent state separation in hidden Markov models for categorical data with covariates: A penalised maximum likelihood approach

Robin Evans: Marginal log-linear parameters lessons for the continuous case  (keynote)

Ralitza Gueorguieva: Mixture models for ordinal survey data with “don’t know” responses

Konstantinos Kalogeropoulos: Assessment of generalised Bayesian structural equation models

Ioannis Kosmidis: Penalized likelihood estimation and inference in high-dimensional logistic regression

Monia Luparelli: Dynamic models for binary networks with time-varying topology

Giampiero Marra: Copula additive distributional regression (for ordinal outcomes) in R

Ioannis Ntzoufras: Bayesian stochastic block model for categorical responses and its application in assessing competitive balance in football

Fabio Rapallo: Model-oriented clustering of contingency tables

Alberto Roverato: An application of the log-hybrid linear parameterization to the comparison of logistic regression coefficients 

Elena Stanghellini: On causal inference and selection bias

Claudia Tarantola: Investigating gender gap in editorial boards of finance journals: a social network perspective

Anestis Touloumis: Bias reduction and finiteness of the GEE estimator with correlated binary responses