Team:NTNU Trondheim/Modeling
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=== Bayesian Hierarchy === | === Bayesian Hierarchy === | ||
We den wish to model the reliability for the observations... That is the probability of false positive/negative results | We den wish to model the reliability for the observations... That is the probability of false positive/negative results | ||
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were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress). | were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress). | ||
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=== Linear Classification === | === Linear Classification === | ||
Revision as of 09:00, 27 June 2011
Models are under construction -------Page
3 types of models: Systems of ODE, Bayesian hierarchy and linear classification problems (LDA or similar). To be continued....
Contents |
Model Introduction
-What to model
-How to model
The Models
Systems of ODE
<math>Insert formula here</math>
=== Bayesian Hierarchy ===
We den wish to model the reliability for the observations... That is the probability of false positive/negative results
and opposite.
Having the observations
x_i, i = 0,1,...,n, and y_j , j = 0,1,...,m,
were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).