然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。

In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

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鉴于含有加性噪声的指数模型描述了一类重要的非线性随机系统。

The exponential models with additive noise describe a class of important nonlinear stochastic systems.

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贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。

Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.

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