Team:NTNU Trondheim/Modeling

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Models are under construction -------Page

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

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