نتایج جستجو برای: bayesian model averaging bma
تعداد نتایج: 2165026 فیلتر نتایج به سال:
Background Mini-Mental State Exam (MMSE) is helpful in the cognitive evaluation and staging of Alzheimer patients (AD), but its score could be affected by acute medical conditions, depression, or anxiety. Conversely, head magnetic resonance imaging (MRI) an independent diagnostic tool to evaluate specific cerebral pathology AD patients. Many studies have investigated correlation between MRI vis...
In 1979, Tirlwall introduced a model called the Balance of Payments Equilibrium (BOPE) model, stating that demand growth could be curbed by the balance of payments deficit, thus limiting further economic growth. The important point in examining the Tirlwall law is the important role of oil exports in providing foreign exchange resources and the important role of these resources in the balance o...
We consider the problem of assessing new and existing technologies for their cost-effectiveness in the case where data on both costs and effects are available from a clinical trial, and we address it by means of the cost-effectiveness acceptability curve. The main difficulty in these analyses is that cost data usually exhibit highly skew and heavy-tailed distributions, so that it can be extreme...
The identification of the most important factors affecting energy intensity with the aim of controlling and managing energy consumption is an important topic. Findings of different empirical studies on the factors affecting energy intensity are inconsistent and this raises uncertainty about the employed models. One of the techniques that conform to these uncertainty conditions of the model is t...
Bootstrap aggregating or Bagging, introduced by Breiman (1996a), has been proved to be effective to improve on unstable forecast. Theoretical and empirical works using classification, regression trees, variable selection in linear and non-linear regression have shown that bagging can generate substantial prediction gain. However, most of the existing literature on bagging have been limited to t...
Motivated by a climate prediction problem, we consider high dimensional Bayesian regression where the number of covariates is much larger than the number of observations. To reduce the dimension of the covariate, the response is regressed on the principal components obtained from the covariates, and it is argued that the PCA regression is equivalent to the original model in terms of prediction....
This study seeks to model tax evasion and identify how effective factors affect tax evasion in the Iranian economy. Recent models show the failure of traditional models; Models do not have enough ability to model hidden variables such as tax evasion. The present study considers this failure in identifying explanatory variables and experimental model design. To achieve this, the Bayesian averagi...
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