Consider a panel data setting where repeated observations on individuals...
We show that the identification problem for a class of dynamic panel log...
There is an innate human tendency, one might call it the "league table
m...
Structure learning of Bayesian networks has always been a challenging
pr...
Nonlinear panel data models with fixed individual effects provide an
imp...
This paper introduces grouped latent heterogeneity in panel data quantil...
Learning graphical models from data is an important problem with wide
ap...
We develop in this article a penalized likelihood method to estimate spa...