نتایج جستجو برای: bayesian approach
تعداد نتایج: 1348475 فیلتر نتایج به سال:
b a c k g r o u n d & aim: the aim of the current study was to investigate the advantages of bayesian method in comparison to traditional methods to detect best antioxidant in freezing of human male gametes. methods & materials: semen samples were obtained from 40 men whose sperm had normal criteria. a part of each sample was separated without antioxidant as fresh and the remaini...
aim : the aim of this study is to estimate oral cavity cancer mortality for iranian population, using bayesian approach in order to revise this misclassification. background : mortality is a familiar projection to address the burden of cancers, but according to iranian death registry, about 20% death statistics were still recorded in misclassified categories. patients and methods : we analyzed ...
abstract background: lung cancer is an important cause of cancer mortality. mortality is a familiar projection to address the burden of cancers. however, according to iranian death registry, about 20% of death statistics were still recorded in misclassified categories. the aim of this study was to estimate lung cancer mortality in iranian population, using bayesian approach to revise this miscl...
The problem of obtaining the optimum design, which is able to discriminate between several rival models has been considered in this paper. We give an optimality-criterion, using a Bayesian approach. This is an extension of the Bayesian KL-optimality to more than two models. A modification is made to deal with nested models. The proposed Bayesian optimality criterion is a weighted average, where...
Anomaly is deviation from common rules and in finance it can be defined as a pattern in the average of stock return that is not consistent with the prevailing asset pricing models literature. For anomaly investigation two common methods are used: portfolio approach and individual firm approach. This paper wants to shed light on anomalies of capital asset pricing model at the individual firm lev...
In this paper we propose the Dynamic Weighting A* (DWA*) search algorithm for solving MAP problems in Bayesian networks. By exploiting asymmetries in the distribution of MAP variables, the algorithm is able to greatly reduce the search space and offer excellent performance both in terms of accuracy and ef ciency.
the problem of hypothesis testing with a nuisance parameter is considered. two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. these methods areneither a pure classical nor a pure bayesian approach to hypothesis testing, but rather related to both. afew known examples and their applications, which cannot be studied by the parametric statisticalmethod...
Methods of inferring the population structure, its applications in identifying disease models as well as foresighting the physical and mental situation of human beings have been finding ever-increasing importance. In this article, first, motivation and significance of studying the problem of population structure is explained. In the next section, the applications of inference of p...
in recent years, some statisticians have studied the signal detection problem by using the random field theory. in this paper we have considered point estimation of the gaussian scale space random field parameters in the bayesian approach. since the posterior distribution for the parameters of interest dose not have a closed form, we introduce the markov chain monte carlo (mcmc) algorithm to ap...
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