URANIE::Calibration Namespace Reference

Classes
class	TABC
class	TCalibration
	Description of the class TCalibration. More...
class	TCirce
class	TDistanceLikelihoodFunction
	Description of the class TDistanceLikelihoodFunction. More...
class	TGaussLogLikelihoodFunction
	Description of the class TGaussLogLikelihoodFunction The log-likelihood is estimated as \[ \textit{log-}\mathcal{L} \left(\theta | \mathbf{x},\mathbf{y}\right) = -\frac{1}{2}\sum_{j=1}^{n_{Var}}\sum_{i=1}^{n_{Obs}}\left( \log\left( 2 \pi \left(\sigma_i^j\right)^2 \right)+\left(\frac{\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}}}{\sigma_i^j}\right)^2\right) \] where. More...
class	TL1DistanceFunction
	Description of the class TL1DistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times ( \sum_{j=1}^{n_{Obs}} | \mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}} | ) \] where. More...
class	TLinearBayesian
	Description of the class TLinearBayesian. More...
class	TLSDistanceFunction
	Description of the class TLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where. More...
class	TMahalanobisDistanceFunction
	Description of the class TMahalanobisDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}})^{T} \Omega^{-1} (\mathbf{y_{i,Obs}} - \mathbf{y_{i,Est}}) } \] where. More...
class	TMCMC
class	TMinimisation
	Description of the class TMinimisation. More...
class	TPMCABC
class	TRejectionABC
class	TRelativeLSDistanceFunction
	Description of the class TRelativeLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \frac{(\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}}{(\mathbf{y^{j}_{i,Obs}})^{2}}} \] where. More...
class	TUncertModeler
class	TWeightedLSDistanceFunction
	Description of the class TWeightedLSDistanceFunction The distance is estimated as \[ Dist = \sum_{i=1}^{n_{Var}} \alpha_i \times \sqrt{ \sum_{j=1}^{n_{Obs}} \beta_{j} (\mathbf{y^{j}_{i,Obs}} - \mathbf{y^{j}_{i,Est}})^{2}} \] where. More...