Team:TU Darmstadt/modelling
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<a href="https://2013.igem.org/Team:TU_Darmstadt/modelling"> | <a href="https://2013.igem.org/Team:TU_Darmstadt/modelling"> | ||
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+ | <a href="https://2013.igem.org/Team:TU_Darmstadt/modelling"> | ||
<font size="8" color="#F0F8FF" face="Arial regular">Modelling |</font> | <font size="8" color="#F0F8FF" face="Arial regular">Modelling |</font> | ||
+ | </a> | ||
<a href="https://2013.igem.org/Team:TU_Darmstadt/Modelling/Statistics"> | <a href="https://2013.igem.org/Team:TU_Darmstadt/Modelling/Statistics"> | ||
<font size="8" color="#F0F8FF" face="Arial regular">Statistics |</font> | <font size="8" color="#F0F8FF" face="Arial regular">Statistics |</font> | ||
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</a> | </a> | ||
- | + | <a href="https://2013.igem.org/Team:TU_Darmstadt/modelling/Structure"> | |
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<h2><font size="6" color="#F0F8FF" face="Arial regular">Modelling</font></h2> | <h2><font size="6" color="#F0F8FF" face="Arial regular">Modelling</font></h2> | ||
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<p text-aligne:left style="margin-left:10px; margin-right:10px"> | <p text-aligne:left style="margin-left:10px; margin-right:10px"> | ||
<br> | <br> | ||
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+ | Our first modelling approach focuses on the human practice project. Here, to quantify the distances between the different distributions obtained by the human practice surveys, | ||
+ | we use an information theoretic model, the Kullback-Leibler-Divergence (DKL). | ||
+ | |||
</B><br> | </B><br> | ||
</B><br> | </B><br> | ||
- | <br><a href="https://2013.igem.org/Team:TU_Darmstadt/ | + | <br><a href="https://2013.igem.org/Team:TU_Darmstadt/Modelling/Statistics"><font size="4"><B>Click</B></font></a> <font size="4"> to read more.</font><br><br><br><br><br><br><br><br><br></font> |
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<a href="https://2013.igem.org/Team:TU_Darmstadt/modelling/Structure"> | <a href="https://2013.igem.org/Team:TU_Darmstadt/modelling/Structure"> | ||
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<IMG SRC="http://213.239.196.197/cgi-bin/mimetex.cgi?4$a^2+c^2=c^2" /> | <IMG SRC="http://213.239.196.197/cgi-bin/mimetex.cgi?4$a^2+c^2=c^2" /> | ||
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Latest revision as of 00:40, 5 October 2013
Modelling
Statistics
Our first modelling approach focuses on the human practice project. Here, to quantify the distances between the different distributions obtained by the human practice surveys,
we use an information theoretic model, the Kullback-Leibler-Divergence (DKL).
Click to read more.
Structure