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Team:NTNU Trondheim/Modeling
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=== Bayesian Hierarchy === | === Bayesian Hierarchy === | ||
| - | We | + | We then wish to model the reliability for the observations... That is the probability of false positive/negative results |
<math>P(RTF = 1|stress)</math> | <math>P(RTF = 1|stress)</math> | ||
and opposite. | and opposite. | ||
Revision as of 09:48, 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
=== Bayesian Hierarchy === We then 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).
