Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction

Silvia Bianconcini, Silvia Cagnone, Dimitris Rizopoulos

Latent variable models represent a useful tool for the analysis of complex data when the constructs of interest are not observable. A problem related to these models is that the in…