1 citations · 3 across the 11 of their papers we have counts for
13 papers
Marginal log-linear models and mediation analysis
Antonio Forcina
We review some not well known results about marginal log-linear models, derive some new ones and show how they might be relevant in mediation analysis within logistic regression. I…
Estimating the size of a closed population by modeling latent and observed heterogeneity
Antonio Forcina, Francesco Bartolucci
The paper describes a new class of capture-recapture models for closed populations when individual covariates are available. The novelty consists in combining a latent class model…
Social Mobility in India
A. Singh, A. Forcina, K. Muniyoor
Rapid rise in income inequality in India is a serious concern. While the emphasis is on inclusive growth, it seems difficult to tackle the problem without looking at the intricacie…
An extended class of RC association models: estimation and main properties
Antonio Forcina, Maria Kateri
The extended class of multiplicative row-column (RC) association models, introduced in this paper for two-way contingency tables, allows users to select both the type of logit (loc…
Modelling dark current and hot pixels in imaging sensors
Antonio Forcina, Paolo Carbone
A Gaussian mixture model with a complex covariance structure was used to analyse experimental data from images recorded by a digital sensor under darkness, to model the effects of…
Multiplicative models for frequency data, estimation and testing
Antonio Forcina
This paper is about models for a vector of probabilities whose elements must have a multiplicative structure and sum to 1 at the same time; in certain applications, as basket analy…
Ecological fallacy and covariates: new insights based on multilevel modelling of individual data
Michela Gnaldi, Venera Tomaselli, Antonio Forcina
This paper deals with the issue of ecological bias in ecological inference. We provide an explicit formulation of the conditions required for the ordinary ecological regression to…
Ecological fallacy and covariates in the estimation of voters transitions
Antonio Forcina, Davide Pellegrino
We provide a simple formulation of the conditions under which ecological bias should be expected and argue that the bias will affect any method of ecological inference; our claim i…
Testing order restrictions in contingency tables
Roberto Colombi, Antonio Forcina
Several interesting models for contingency tables are defined by a system of equality and inequality constraints on a suitable set of marginal log-linear parameters. After reviewin…
An efficient Fisher-scoring algorithm for fitting latent class models with individual covariates
Antonio Forcina
For latent class models where the class weights depend on individual covariates, we derive a simple expression for computing the score vector and a convenient hybrid between the ob…
A class of smooth models satisfying marginal and context specific conditional independencies
R. Colombi, A. Forcina
We study a class of conditional independence models for discrete data with the property that one or more log-linear interactions are defined within two different marginal distribut…
Fitting directed acyclic graphs with latent nodes as finite mixtures models, with application to education transmission
Antonio Forcina, Salvatore Modica
This paper describes an efficient EM algorithm for maximum likelihood estimation of a system of nonlinear structural equations corresponding to a directed acyclic graph model that…
Modelling sources of ecological fallacy within a revised Brown and Payne model of voting transitions
Antonio Forcina
We present a model of voting behaviour based on a version of aggregated overdispersed multinomial distributions; relative to a similar model by \citet{BP86}, our model is based on…