This paper discusses the exponential regression model, which is the simplest but very important in the family of Bayesian accelerated failure-time model.

讨论了加速失效模型族中最简单而又十分重要的指数回归模型，利用贝叶斯方法提高了该模型的有效性。

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Bayesian methods are those that are explicitly apply Bayes' Theorem for problems such as classification and regression.

贝叶斯方法是那些明确地在分类和回归问题中应用贝叶斯定理的算法。

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And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.

然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。

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