Fisher information matrix
= Fisher information matrix
{c}
= Fisher information
{c}
{synonym}
The Fisher information is $I_n(\theta)=\mathbb E[S_nS_n^T]$ and equals $nI_1(\theta)$ for an independent identically distributed sample.
= Fisher information matrix
{c}
= Fisher information
{c}
{synonym}
The Fisher information is $I_n(\theta)=\mathbb E[S_nS_n^T]$ and equals $nI_1(\theta)$ for an independent identically distributed sample.