We obtain the Bayesian estimator of OD trip matrix, which is more reasonable and reliable than the estimator obtained by OM and convenient to practical use.
它比优化模型所得到的OD出行矩阵估计合理、可靠，更便于实际应用。
First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.
首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计，并讨论了该估计的性质，给出了收敛速度。
Bayesian maximum a posterior DOA estimator based on Gibbs sampling (GSBM) is further investigated.
进一步研究了基于吉布斯抽样的贝叶斯最大后验概率方位估计方法。
Bayesian maximum a posterior DOA estimator based on importance sampling (ISBM) is proposed.
提出了基于重要性抽样的贝叶斯最大后验概率方位估计方法。
The new method and original Bayesian high-resolution DOA estimator are compared with other typical methods like MUSIC and MLE, and the superiority of the new method is revealed.
进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法（MUSIC）和极大似然估计法（MLE）的性能比较研究，揭示了新方法的优越性。
The new method and original Bayesian high-resolution DOA estimator are compared with other typical methods like MUSIC and MLE, and the superiority of the new method is revealed.
进行了新方法、原贝叶斯高分辨方位估计方法与多重信号特征法（MUSIC）和极大似然估计法（MLE）的性能比较研究，揭示了新方法的优越性。
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