The safety and efficiency of air traffic control can be improved with a new method to estimate flight conflict probability.
为改善空中交通的安全性和效率，对飞行冲突概率估计的方法进行了研究。
Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.
该模型的核心部分是根据观测到的资料，通过蒙特卡洛马尔科夫链随机抽样的方法来估计变点位置的后验概率分布。
Based on the Bayesian theory, a probability method was proposed to estimate the parameters of the Poisson curve.
基于贝叶斯理论，提出采用概率的方法来估计泊松曲线的参数。
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