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Team:NTNU Trondheim/Modeling
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Revision as of 21:29, 7 July 2011
Modeling
3 types of models: Systems of ODE, Bayesian hierarchy and linear classification problems (LDA or similar). To be continued....
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 <math>P(RTF = 1|stress) ^{T}</math> and opposite. Having the observations from the lab
"\mathtbf{x} = (x_{1} , x_{2} , \cdots , x_{n})"
were x_i is under condition C = 1 (stress) , and y_j is under condition C = 0 (no stress).
Linear Classification
Non-linear Classification
Model Validation
References
