Transcription of Introduction to latent variable models - UPF
{{id}} {{{paragraph}}}
Example: dental hygienist
Introduction to latent variable models - UPF
Introduction to latent variable models lecture 1. Francesco Bartolucci Department of Economics, Finance and Statistics University of perugia , IT. [2/24]. Outline latent variables and their use Some example datasets A general formulation of latent variable models The Expectation-Maximization algorithm for maximum likelihood estimation Finite mixture model (with example of application). latent class and latent regression models (with examples of application). latent variables and their use [3/24]. latent variable and their use A latent variable is a variable which is not directly observable and is assumed to affect the response variables (manifest variables).
University of Perugia, IT bart@stat.unipg.it { Typeset by FoilTEX { 1 [2/24] Outline Latent variables and their use Some example datasets A general formulation of latent variable models ... model (latent variable model) with di erent aims:.representing the e ect of unobservable covariates/factors and then accounting for the unobserved ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: