次线性算子下可积变量的最小均方估计
The minimum mean square estimator of integrable variables under sublinear operators
摘要：
本文研究了次线性算子下无界随机变量的最小均方估计。证明了最小均方估计的存在唯一性。在适当的假设下，证明了无界随机变量的最小均方估计的几个性质。
英文摘要：
In this paper, we study the minimum mean square estimator for non-bounded random variables under sublinear operators. The existence and uniqueness of the minimum mean square estimator are obtained. Several properties of the minimum mean square estimator for non-bounded random variables are proved under some mild assumptions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
