25 #ifndef UQ_BAYESIAN_JOINT_PROB_DENSITY_H 
   26 #define UQ_BAYESIAN_JOINT_PROB_DENSITY_H 
   30 #include <boost/math/special_functions.hpp>  
   32 #include <queso/JointPdf.h> 
   33 #include <queso/Environment.h> 
   34 #include <queso/ScalarFunction.h> 
   35 #include <queso/BoxSubset.h> 
   48 template <
class V = GslVector, 
class M = GslMatrix>
 
   60                           double                                likelihoodExponent,
 
   72   double actualValue              (
const V& domainVector, 
const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) 
const;
 
   79   double lnValue                  (
const V& domainVector, 
const V* domainDirection, V* gradVector, M* hessianMatrix, V* hessianEffect) 
const;
 
  116 #endif // UQ_BAYESIAN_JOINT_PROB_DENSITY_H 
double actualValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const 
Actual value of the PDF (scalar function). 
 
double m_likelihoodExponent
 
BayesianJointPdf(const char *prefix, const BaseJointPdf< V, M > &priorDensity, const BaseScalarFunction< V, M > &likelihoodFunction, double likelihoodExponent, const VectorSet< V, M > &intersectionDomain)
Default constructor. 
 
A templated class for handling sets. 
 
void setNormalizationStyle(unsigned int value) const 
Sets a value to be used in the normalization style of the prior density PDF (ie, protected attribute ...
 
A templated (base) class for handling joint PDFs. 
 
double lnValue(const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const 
Computes the logarithm of the value of the function. 
 
double computeLogOfNormalizationFactor(unsigned int numSamples, bool updateFactorInternally) const 
TODO: Computes the logarithm of the normalization factor. 
 
const BaseJointPdf< V, M > & m_priorDensity
 
A templated (base) class for handling scalar functions. 
 
const BaseScalarFunction< V, M > & m_likelihoodFunction
 
~BayesianJointPdf()
Destructor. 
 
double m_lastComputedLogPrior
 
A class for handling Bayesian joint PDFs. 
 
double lastComputedLogLikelihood() const 
Returns the logarithm of the last computed likelihood value. Access to protected attribute m_lastComp...
 
double m_lastComputedLogLikelihood
 
double lastComputedLogPrior() const 
Returns the logarithm of the last computed Prior value. Access to protected attribute m_lastComputedL...