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  1. MHB Apprentice

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    #1
    I am familiar with the hessian matrix having the square in the numerator and a product of partial derivatives in the denominator:

    $Hessian = \frac{\partial^2 f}{\partial x_i \partial x_j}$

    However, I have come across a different expression, source: (slide 40)

    $nCov(\hat\theta) =A^{-1}=[-Hessian]^{-1} = [-\partial F(\hat\theta)/(\partial\hat\theta\partial\hat\theta')]^{-1}$

    A - represents a hessian matrix.

    I am curious are the one attached and usual hessian matrix interchangeable somehow? Why is there no square and a derivative appears in the denominator in the attached example?

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