结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。

A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.

youdao

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.

youdao

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.

youdao