What/when does one need $E$ in expected Fisher information for?











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What/when does one need $E$ in expected Fisher information for?



Since I read an example which merely calculated the second derivatives, put a minus on them and then wrote them in matrix form. It seems that $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$.



Normally I think that $E$ merely applies to random variables, since it treats constants as $E(c)=c$. But is it then just that in this case $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$, but not in general.










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    down vote

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    What/when does one need $E$ in expected Fisher information for?



    Since I read an example which merely calculated the second derivatives, put a minus on them and then wrote them in matrix form. It seems that $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$.



    Normally I think that $E$ merely applies to random variables, since it treats constants as $E(c)=c$. But is it then just that in this case $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$, but not in general.










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      up vote
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      down vote

      favorite









      up vote
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      down vote

      favorite











      What/when does one need $E$ in expected Fisher information for?



      Since I read an example which merely calculated the second derivatives, put a minus on them and then wrote them in matrix form. It seems that $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$.



      Normally I think that $E$ merely applies to random variables, since it treats constants as $E(c)=c$. But is it then just that in this case $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$, but not in general.










      share|cite|improve this question













      What/when does one need $E$ in expected Fisher information for?



      Since I read an example which merely calculated the second derivatives, put a minus on them and then wrote them in matrix form. It seems that $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$.



      Normally I think that $E$ merely applies to random variables, since it treats constants as $E(c)=c$. But is it then just that in this case $E bigg( -partial^2 log(f) bigg)=-partial^2 log(f)$, but not in general.







      fisher-information






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      asked Nov 21 at 9:46









      mavavilj

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