Multivariate Gaussian distribution notation The 2019 Stack Overflow Developer Survey Results Are InNormalizing a normally distributed vector to unit lengthCorrelation Coefficient Distribution Function: An Apparent Discrepancy?Notation for parametric family of joint densitiesGetting a feel for the Normal-Inverse-Wishart conjugate prior to multivariate normal distribution$(X, Y)$ PDF is in the Multivariate Normal form $implies$ $(X, Y)$ multivariate normalMarginal distribution of multivariate Gaussian when 2nd and 3rd dimensions are functions of their previous dimensionInconsistent interpretations for the second parameter of the Gamma distributionDerivation of derivative of multivariate Gaussian w.r.t. covariance matrixMAP estimation of a diagonal linear state transition matrix with bounded supportStochastic approximation of a Cauchy principle value integral.

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Multivariate Gaussian distribution notation



The 2019 Stack Overflow Developer Survey Results Are InNormalizing a normally distributed vector to unit lengthCorrelation Coefficient Distribution Function: An Apparent Discrepancy?Notation for parametric family of joint densitiesGetting a feel for the Normal-Inverse-Wishart conjugate prior to multivariate normal distribution$(X, Y)$ PDF is in the Multivariate Normal form $implies$ $(X, Y)$ multivariate normalMarginal distribution of multivariate Gaussian when 2nd and 3rd dimensions are functions of their previous dimensionInconsistent interpretations for the second parameter of the Gamma distributionDerivation of derivative of multivariate Gaussian w.r.t. covariance matrixMAP estimation of a diagonal linear state transition matrix with bounded supportStochastic approximation of a Cauchy principle value integral.










0












$begingroup$


Is the following correct?



The prior distribution is a multivariate Gaussian distribution defined as:



beginequation
boldsymbol mathrm theta_i sim mathcalMVN( boldsymbol mathrm mu, Sigma),
labeleq:bsp
endequation



where $boldsymbol mathrm theta_i = [a hspace2mm b hspace2mm c hspace2mm d]$ for pixel $i$.



Is it correct to put an index under $theta$ (i.e. $theta_i$) ? Or should I just put $theta$?



Also should I introduce the notation $mathcalMVN$ or is it clear from the statement above?










share|cite|improve this question









$endgroup$











  • $begingroup$
    I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
    $endgroup$
    – user370967
    Mar 30 at 11:50















0












$begingroup$


Is the following correct?



The prior distribution is a multivariate Gaussian distribution defined as:



beginequation
boldsymbol mathrm theta_i sim mathcalMVN( boldsymbol mathrm mu, Sigma),
labeleq:bsp
endequation



where $boldsymbol mathrm theta_i = [a hspace2mm b hspace2mm c hspace2mm d]$ for pixel $i$.



Is it correct to put an index under $theta$ (i.e. $theta_i$) ? Or should I just put $theta$?



Also should I introduce the notation $mathcalMVN$ or is it clear from the statement above?










share|cite|improve this question









$endgroup$











  • $begingroup$
    I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
    $endgroup$
    – user370967
    Mar 30 at 11:50













0












0








0





$begingroup$


Is the following correct?



The prior distribution is a multivariate Gaussian distribution defined as:



beginequation
boldsymbol mathrm theta_i sim mathcalMVN( boldsymbol mathrm mu, Sigma),
labeleq:bsp
endequation



where $boldsymbol mathrm theta_i = [a hspace2mm b hspace2mm c hspace2mm d]$ for pixel $i$.



Is it correct to put an index under $theta$ (i.e. $theta_i$) ? Or should I just put $theta$?



Also should I introduce the notation $mathcalMVN$ or is it clear from the statement above?










share|cite|improve this question









$endgroup$




Is the following correct?



The prior distribution is a multivariate Gaussian distribution defined as:



beginequation
boldsymbol mathrm theta_i sim mathcalMVN( boldsymbol mathrm mu, Sigma),
labeleq:bsp
endequation



where $boldsymbol mathrm theta_i = [a hspace2mm b hspace2mm c hspace2mm d]$ for pixel $i$.



Is it correct to put an index under $theta$ (i.e. $theta_i$) ? Or should I just put $theta$?



Also should I introduce the notation $mathcalMVN$ or is it clear from the statement above?







statistics notation index-notation






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Mar 30 at 11:46









GinaGina

6919




6919











  • $begingroup$
    I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
    $endgroup$
    – user370967
    Mar 30 at 11:50
















  • $begingroup$
    I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
    $endgroup$
    – user370967
    Mar 30 at 11:50















$begingroup$
I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
$endgroup$
– user370967
Mar 30 at 11:50




$begingroup$
I would write $theta_i simmathcalN(mu, sum)$ instead. Context makes it clear that it is multivariable.
$endgroup$
– user370967
Mar 30 at 11:50










0






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