to compare different qtl mapping methods, a population with genotypic and phenotypic data was simulated. in bayesian approach, all information of markers can be used along with combination of distributions of snp markers. it is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. the simulated population included a basic population of ...

This article examines the consistency, interpretation and application of Bayes factors constructed from standard test statistics. Primary conclusions are that Bayes factors based on multinomial and normal test statistics are consistent for suitable choices of the hyperparameters used to specify alternative hypotheses, and that such constructions can be extended to obtain consistent Bayes factor...

This paper focuses on a Bayes inference model for a simple step-stress life test using Type-I censored sample in a discrete set-up. Assuming the failure times at each stress level are geometrically distributed, the Bayes estimation problem of the parameters of interest is investigated in the both of point and interval approaches. To derive the Bayesian point estimators, some various balanced lo...

It is well-known that Naive Bayes can only represent linearly separable functions in binary domains. But the learnability of general Augmented Naive Bayes is open. Little work is done on the learnability of Bayesian networks in nominal domains, a general case of binary domains. This paper explores the learnability of Augmented Naive Bayes in nominal domains. We introduce a complexity measure fo...

A goal that I have set for myself as Editor is to add some new features to our standard fare of erudite technical articles. There are always times when those who do science need to pause and reflect about the broader implications of what they do. It occurred to me that an occasional column by writers who want to probe into such matters might interest a large cross-section of our readers. Drs. J...

Bayes linear kinematics and graphical models provide an extension of methods so that full conditional updates may be combined with belief adjustment. The use eliminates the problem non-commutativity which was observed in earlier work involving moment-based updates. In this paper we describe approach investigate its application to rapid computation prognostic index values survival when a patient...