One of the main differences between classical statistics and Bayesian statistics is that the latter can utilise prior information in a formal way. This information can be quantified in terms of a probability distribution which is known as the prior distribution. If there is no relevant prior information available then there are ways to derive a 'non-informative' prior distribution. In this study, the informative and non-informative prior distributions for the parameters of the Bradley-Terry model for paired comparison data are compared
A probabilistic approach to build models for paired comparison experiments based on the comparison o...
Beta distributions with both parameters equal to 0, ½, or 1 are the usual choices for “noninformativ...
Non-informative priors play crucial role in objective Bayesian analysis. Most popular ways of constr...
In the study of paired comparisons (PC), items may be ranked or issues may be prioritized through su...
We have formulated a Bayesian approach to paired comparison experimentation under the multi-binomial...
One technique being commonly studied these days because of its attractive applications for the compa...
In this study the comparison of non-informative (Jeffreys and Uniform) priors is made. Rossman, et a...
A question of some interest is how to characterize the amount of information that a prior puts into ...
Suppose we entertain Bayesian inference under a collection of models. This requires assigning a corr...
Suppose we entertain Bayesian inference under a collection of models. This requires assigning a corr...
Abstract: In Bayesian parameter estimation, a priori information can be used to shape the prior dens...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
A salient feature of Bayesian inference is its ability to incorporate information from a variety of ...
Tian et al. have reviewed and discussed various noninformative or weakly informative priors when rel...
Thurstonian and Bradley-Terry models are the most commonly applied models in the analysis of paired ...
A probabilistic approach to build models for paired comparison experiments based on the comparison o...
Beta distributions with both parameters equal to 0, ½, or 1 are the usual choices for “noninformativ...
Non-informative priors play crucial role in objective Bayesian analysis. Most popular ways of constr...
In the study of paired comparisons (PC), items may be ranked or issues may be prioritized through su...
We have formulated a Bayesian approach to paired comparison experimentation under the multi-binomial...
One technique being commonly studied these days because of its attractive applications for the compa...
In this study the comparison of non-informative (Jeffreys and Uniform) priors is made. Rossman, et a...
A question of some interest is how to characterize the amount of information that a prior puts into ...
Suppose we entertain Bayesian inference under a collection of models. This requires assigning a corr...
Suppose we entertain Bayesian inference under a collection of models. This requires assigning a corr...
Abstract: In Bayesian parameter estimation, a priori information can be used to shape the prior dens...
We consider the specification of prior distributions for Bayesian model comparison, focusing on regr...
A salient feature of Bayesian inference is its ability to incorporate information from a variety of ...
Tian et al. have reviewed and discussed various noninformative or weakly informative priors when rel...
Thurstonian and Bradley-Terry models are the most commonly applied models in the analysis of paired ...
A probabilistic approach to build models for paired comparison experiments based on the comparison o...
Beta distributions with both parameters equal to 0, ½, or 1 are the usual choices for “noninformativ...
Non-informative priors play crucial role in objective Bayesian analysis. Most popular ways of constr...