Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data
By Paul Gustafson. 2015
79 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/31d496f8ab1cff6c4d7ac3a59eb692f6069943db
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In Statistics and Probability
- Andrea Riebler
- Mikkel Plagborg-Møller
- Leonhard Held
- Håvard Rue
- Daniel P. Simpson
- Thomas Kneib
- Martyn Plummer
- Finn Lindgren
Citations in the corpus
- Bayesian inference on structural impulse response functions (2019, background): “53As emphasized by Gustafson (2015, pp. 35, 59–61), the Bayesian approach to partial identification explicitly acknowledges the role of prior information even in infinite samples. This stands in contrast with traditional “identified” models, for which the potential bias due to misspecification of th”
- Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations (2017, background): “In fact, the APC model can be regarded as a partially identified model (Gustafson, 2015, Section 2).”