5 citations · 9 across the 15 of their papers we have counts for
4 papers · 2 filters
A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs
George Karabatsos, Stephen G. Walker
For non-randomized studies, the regression discontinuity design (RDD) can be used to identify and estimate causal effects from a "locally-randomized" subgroup of subjects, under re…
On Bayesian Nonparametric Continuous Time Series Models
George Karabatsos, Stephen G. Walker
This paper is a note on the use of Bayesian nonparametric mixture models for continuous time series. We identify a key requirement for such models, and then establish that there is…
A Latent-Variable Bayesian Nonparametric Regression Model
George Karabatsos, Stephen G. Walker
We introduce a random partition model for Bayesian nonparametric regression. The model is based on infinitely-many disjoint regions of the range of a latent covariate-dependent Gau…
A Bayesian Nonparametric Meta-Analysis Model
George Karabatsos, Elizabeth Talbott, Stephen G. Walker
In a meta-analysis, it is important to specify a model that adequately describes the effect-size distribution of the underlying population of studies. The conventional normal fixed…