On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter

By Dale J. Poirier, J. Tobias. 2003

48 citations recorded by the source corpus.

Subfields: Education, Safety Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5f569f25ea979d2d31e1c3d1534688fe76ded451

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Donald P. Green

In Safety Research

1. Donald P. Green
2. James H. Fowler

In Statistics and Probability

1. Donald P. Green
2. H. Kern
3. Susan Athey
4. A. Coppock
5. Guido W. Imbens
6. Peng Ding
7. Stefan Wager
8. Sherri Rose

Citations in the corpus

• Analysis of treatment response data without the joint distribution of potential outcomes (2007, unknown): “…versions of the basic model relevant for panel data, binary outcomes and ordinal treatments, under weak distributional assumptions, while Poirier and Tobias (2003) revisited the basic model with a prior on the non-identified covariance parameter that was different than that in Chib and…”
• Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees (2010, background): “…1999; Pocock et al. 2002; Royston and Sauerbrei 2004; Rothwell 2005) and econometrics (e.g., Heckman, Smith, and Clements 1997; Abadie 2003; Poirier and Tobias 2003; Angrist 2004; Dehejia 2005; Bitler, Gelbach, and Hoynes 2006, 2009; Abbring and Heckman 2007; Crump et al. 2008;…”