Tammie Covington | 1 Apr 22:24
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MCSim question

I wanted to make sure I was interpreting the manual correctly.  In defining a LogNormal distribution, you input the geometric mean (exponential of mean in log-space) and the geometric standard deviation (exponential of the standard deviation in log-space), BUT for LogNormal_v you input the geometric mean and the variance in log-space rather than the exponential of the variance in log-space.  Is this correct?  Thanks!

 

Tammie Covington

(318) 251-6974

tcovington <at> environcorp.com

 

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Frédéric BOIS | 2 Apr 09:14
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Rép. : MCSim question

Yes, this is correct. The LogNormal_v form is just to be able to specify
a conjugate (inverse-gamma) 
prior for the variance in a normal model (in case you wanted it).

F. Bois

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>>> "Tammie Covington" <TCovington <at> environcorp.com> jeudi 1 avril 2004
22:24:26 >>>
I wanted to make sure I was interpreting the manual correctly.  In
defining a LogNormal distribution, you input the geometric mean
(exponential of mean in log-space) and the geometric standard
deviation
(exponential of the standard deviation in log-space), BUT for
LogNormal_v you input the geometric mean and the variance in log-space
rather than the exponential of the variance in log-space.  Is this
correct?  Thanks!

Tammie Covington

(318) 251-6974

tcovington <at> environcorp.com 
Ipsita Sinha | 30 Apr 14:56
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Question about inputs in model setup

I have got some rate of infusion stored in a vector and i convolve that 
directly with impulse response to get the concentration input.

c(t) = x(t) * f(theta,t);//x = known infusion vector, f = parameterised 
impulse reponse where theta needs to be estimated.

How would i specify this in my model setup.

Thank you in advance. Any help will be much appreciated.

Ipsita 

Gmane