Difference between revisions of "Animations & Videos"

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m (The SAEM algorithm in practice)
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The objective of this animation is to explain that such approach is relevant in many applications (biology, agronomy, toxicology, pharmacology,…) and to show a little bit more in detail an application in PK modeling.
 
The objective of this animation is to explain that such approach is relevant in many applications (biology, agronomy, toxicology, pharmacology,…) and to show a little bit more in detail an application in PK modeling.
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{{ShowVideo_NoCaption|image=IntroductionPA.png|size=500px|video=http://team.inria.fr/popix/files/2012/01/Populations.swf}}
 
{{ShowVideo_NoCaption|image=IntroductionPA.png|size=500px|video=http://team.inria.fr/popix/files/2012/01/Populations.swf}}
  
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This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.
 
This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.
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{{ShowVideo_NoCaption|image=IntroductionPK.png |size=500px|video=https://team.inria.fr/popix/files/2013/02/PKmodelling.swf }}
 
{{ShowVideo_NoCaption|image=IntroductionPK.png |size=500px|video=https://team.inria.fr/popix/files/2013/02/PKmodelling.swf }}
  

Revision as of 11:43, 15 May 2013

Introduction to the population approach

The objective of this animation is to explain that such approach is relevant in many applications (biology, agronomy, toxicology, pharmacology,…) and to show a little bit more in detail an application in PK modeling.

IntroductionPA.png



Introduction to PK modeling

This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.

IntroductionPK.png



The SAEM algorithm in practice

This video shows the behavior of the SAEM algorithm, that is largely decribed in The SAEM algorithm for estimating population parameters Section.


Saem5b.png