People at IHS in alphabetical order:
Justinas Pelenis has joined IHS in the summer of 2011 after completing his Ph.D. at Princeton University. Justinas Pelenis' research interests lie in econometrics with particular focus on Bayesian methods. His research focuses on the theoretical and methodological aspects of nonparametic Bayesian estimation procedures. His work has been published in Journal of Econometrics and Econometric Theory.
"Bayesian Modeling of Joint and Conditional Distributions", with A. Norets, Journal of Econometrics (2012), 168:2, 332-346.
"Bayesian Regression with Heteroscedastic Error Density and Parametric Mean Function", Journal of Econometrics (2014), 178:3, 624-638.
"Posterior Consistency in Conditional Density Estimation by Covariate Dependent Mixtures", with A. Norets, Econometric Theory (2014), 30:3, 606-646.