【摘要】 简要介绍了贝叶斯参数估计的基本原理,并在选择均匀代价函数的基础上,给出了最大后验(MAP)估计器的实现方法。以223个电阻测量值作为样本,利用Parzen窗法估算出了先验概率密度函数,由此得出了该样本的MAP估计器,并与数据拟合技术进行了比较,验证了该方法的可行性与优越性,从而为此技术的广泛应用提供了依据。更多还原

【Abstract】 The main principal of Bayes parameter estimation is briefly introduced.Based on uniform cost function,a realization method of maximum a posterior estimator(MAP) is derived.Meanwhile,by using Parzen windows estimation methods to get the prior probability density function,a MAP estimator of a resistance dataset is obtained directly.Compared with data-fitting technique,it is proven that the method is feasible and advantageous.Therefore,it provide an example for wider application of this method.更多还原