We propose a nonparametric parameter estimation of confidence intervals when the underlying has large or infinite variance. We explain the method by a simple numerical example and provide an application to estimate the coupling strength in neuronal networks.

翻译：我们建议,当底部存在巨大或无限差异时,对信任期进行非参数性参数估计。我们用一个简单的数字示例来解释这种方法,并提供一种应用来估计神经网络的联结强度。