Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
data_analysis [2021/03/14 11:38] admin |
data_analysis [2021/05/31 15:43] (current) admin |
||
---|---|---|---|
Line 1: | Line 1: | ||
+ | Return to [[start|start page]] | ||
< | < | ||
- | <col xs=" | + | <col xs=" |
<WRAP cblock> | <WRAP cblock> | ||
< | < | ||
Line 65: | Line 66: | ||
- | ## 7. Optimal Transformations | + | ## 4. Optimal Transformations |
### 1. Short description | ### 1. Short description | ||
1. The Mean Optimal Transformation Approach (MOTA) was suggested for investigating non-identifiablities. | 1. The Mean Optimal Transformation Approach (MOTA) was suggested for investigating non-identifiablities. | ||
Line 89: | Line 90: | ||
1. Breiman & Friedman. Estimating optimal transformations for multiple regression and correlation. (1985) | 1. Breiman & Friedman. Estimating optimal transformations for multiple regression and correlation. (1985) | ||
- | ## 8. Error Models | + | ## 5. Error Models |
- | ## 9. Retarded Transient Function | + | ## 6. Retarded Transient Function |
### 1. Under development | ### 1. Under development | ||
### 2. Short description | ### 2. Short description | ||
Line 100: | Line 101: | ||
5. It can be fit to ODEs in order to have an approximation of the dynamics as explicit function (e.g. for multiscale models) | 5. It can be fit to ODEs in order to have an approximation of the dynamics as explicit function (e.g. for multiscale models) | ||
- | ### 9.3. Availability | + | ### 3. Availability |
1. D2D is used for fitting | 1. D2D is used for fitting | ||
2. See: D2D Example folder (ToyModels/ | 2. See: D2D Example folder (ToyModels/ | ||
- | ### 9.4. Applicability | + | ### 4. Applicability |
1. Fitting is very robust | 1. Fitting is very robust | ||
2. For data, the outcome is great in 90% of cases | 2. For data, the outcome is great in 90% of cases | ||
3. For approximating ODEs, the performance depends on the model. The accuracy is better than uncertainties of data. | 3. For approximating ODEs, the performance depends on the model. The accuracy is better than uncertainties of data. | ||
- | ### 9.5. Publication | + | ### 5. Publication |
1. Submitted | 1. Submitted | ||
</ | </ | ||
Line 116: | Line 117: | ||
</ | </ | ||
- | <col xs="12" sm=" | + | |
+ | |||
+ | <col xs="6" sm=" | ||
+ | - [[# | ||
+ | - [[# | ||
+ | - [[# | ||
+ | - [[# | ||
+ | - [[# | ||
+ | - [[# | ||
+ | </ | ||
< | < |