𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Measuring prior sensitivity and prior informativeness in large Bayesian models

✍ Scribed by Müller, Ulrich K.

Book ID
119300177
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
420 KB
Volume
59
Category
Article
ISSN
0304-3932

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Forecast Combination and Bayesian Model
Forecast Combination and Bayesian Model Averaging: A Prior Sensitivity Analysis
✍ Martin Feldkircher 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 254 KB 👁 1 views

## ABSTRACT In this study we evaluate the forecast performance of model‐averaged forecasts based on the predictive likelihood carrying out a prior sensitivity analysis regarding Zellner's __g__ prior. The main results are fourfold. First, the predictive likelihood does always better than the tradit

SOME COMMENTS ON MISSPECIFICATION OF PRI
SOME COMMENTS ON MISSPECIFICATION OF PRIORS IN BAYESIAN MODELLING OF MEASUREMENT ERROR PROBLEMS
✍ SYLVIA RICHARDSON; LAURENT LEBLOND 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 406 KB

In this paper we discuss some aspects of misspecification of prior distributions in the context of Bayesian modelling of measurement error problems. A Bayesian approach to the treatment of common measurement error situations encountered in epidemiology has been recently proposed. Its implementation

Sensitivity analysis of prior model prob
Sensitivity analysis of prior model probabilities and the value of prior knowledge in the assessment of conceptual model uncertainty in groundwater modelling
✍ Rodrigo Rojas; Luc Feyen; Alain Dassargues 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 441 KB 👁 1 views

## Abstract A key point in the application of multi‐model Bayesian averaging techniques to assess the predictive uncertainty in groundwater modelling applications is the definition of prior model probabilities, which reflect the prior perception about the plausibility of alternative models. In this