In this work, we introduced a new Bayesian abstract fuzzy economy model with differential private information and the Baysian fuzzy equilibrium problem, and we also prove the existence of the Baysian fuzzy equilibrium problem for this new model. Our main results extended and improved the recent results announced by many authors from the literature. The new concept of idea that the uncertainties...

The potential epistasis that may explain a large portion of the phenotypic variation for complex traits has been ignored in many genetic association studies. A Baysian method using a Gibbs sampler was introduced to draw inferences about multilocus genotypic effects based on their marginal posterior distributions by a Gibbs sampler. This method would be applied to studies for interaction effects...

The Baysian Iterated Learning approach to language is consistent with generative grammar, but needs to be supplemented with specific cognitive constraints for empirical adequacy.

This paper proposes an approach to analyze demand scenarios in technology-driven markets where product demands are volatile, but follow a few identifiable life-cycle patterns. After analyzing a large amount of semiconductor data, we found that not only can products be clustered by life-cycle patterns, but in each cluster there exists leading indicator products that provide advanced indication o...

Summary: GeneSupport implements a genome-scale algorithm: Maximum Gene-Support Tree to estimate species tree from gene trees based on multilocus sequences. It provides a new option for multiple genes to infer species tree. It is incorporated into popular phylogentic program: PHYLIP package with the same usage and user interface. It is suitable for phylogenetic methods such as maximum parsimony,...

This paper presents a novel practical framework for Bayesian model averaging and model selection in probabilistic graphical models. Our approach approximates full posterior distributions over model parameters and structures, as well as latent variables, in an analytical manner. These posteriors fall out of a free-form optimization procedure, which naturally incorporates conjugate priors. Unlike...

Previous conjoint choice design construction procedures have produced a single design that is administered to all subjects. This paper proposes to construct a limited set of different designs. The designs are constructed in a Bayesian fashion, taking into account prior uncertainty about the parameter values. A computational procedure is developed that enables fast and easy implementation in pra...