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An overview of robust Bayesian analysis
An overview of the subject of robust Bayesian analysis is provided, one that is accessible to statisticians outside the field, and recent developments in the area are reviewed.
A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation
Bayesian Analysis of Stochastic Process Models
Bayesian Analysis of Stochastic Process Models provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of Stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.
Encyclopedia of statistics in quality and reliability
Encyclopedia statistics in quality and reliability , Encyclopedia statistics in quality and reliability , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
Mixtures of Gamma Distributions With Applications
This article proposes a Bayesian density estimation method based upon mixtures of gamma distributions. It considers both the cases of known mixture size, using a Gibbs sampling scheme with a…
Using AHP in determining the prior distributions on gas pipeline failures in a robust Bayesian approach
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
- A. Benavoli, Giorgio Corani, F. Mangili, Marco Zaffalon, F. Ruggeri
- Computer Science, MathematicsICML
- 21 June 2014
This work proposes a nonparametric Bayesian version of the Wilcoxon signed-rank test using a Dirichlet process (DP) based prior, and addresses in two different ways the problem of how to choose the infinite dimensional parameter that characterizes the DP.