Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure
We describe a mixed‐effects model for nonnegative continuous cross‐sectional data in a
two‐part modelling framework. A potentially endogenous binary variable is included in the …
two‐part modelling framework. A potentially endogenous binary variable is included in the …
Mixture modelling of discrete data
D Karlis - Handbook of Mixture Analysis, 2019 - taylorfrancis.com
This chapter reviews the literature related to finite mixture models designed specifically for
discrete data. It provides a broad overview over a wide range of models for these data types …
discrete data. It provides a broad overview over a wide range of models for these data types …
On baseline conditions for zero-inflated longitudinal count data
A Maruotti, V Raponi - Communications in Statistics-Simulation …, 2014 - Taylor & Francis
We describe a mixed-effect hurdle model for zero-inflated longitudinal count data, where a
baseline variable is included in the model specification. Association between the count data …
baseline variable is included in the model specification. Association between the count data …
[PDF][PDF] Model-based clustering for count & mixed mode data
F Panagou - 2022 - dept.aueb.gr
Abstract Model based clustering is a common approach for modelling data with the use of
finite mixtures of parametric distributions. For count data, the choice of high dimensional …
finite mixtures of parametric distributions. For count data, the choice of high dimensional …
Testing for dependence in mixed effect models for multivariate mixed responses
M Alfó, L Nieddu, D Vicari - New Perspectives in Statistical Modeling and …, 2011 - Springer
In regression modelling for multivariate responses of mixed type, the association between
outcomes may be modeled through dependent, outcomespecific, latent effects. Parametric …
outcomes may be modeled through dependent, outcomespecific, latent effects. Parametric …
The Effects of Firm Size and Experience on Safety and Environmental Performance in the Oil and Gas Industry, Part I: A Proposed Treatment for Sample Selection in …
C Jablonowski - 2014 - papers.ssrn.com
Consider a case where it is desired to estimate a detection-controlled estimation model in
each of two regimes where the observations in each regime are the result of a selection …
each of two regimes where the observations in each regime are the result of a selection …
Fitting directed acyclic graphs with latent nodes as finite mixtures models, with application to education transmission
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 …
system of nonlinear structural equations corresponding to a directed acyclic graph model …