cbl::statistics::PriorDistribution Class Reference

The class PriorDistribution. More...

#include "Headers/PriorDistribution.h"

Inherits cbl::glob::CombinedDistribution.

Public Member Functions
Constructors/destructors
	PriorDistribution ()
	default constructor
	PriorDistribution (const glob::DistributionType priorType, const double value)
	constructor of a constant distribution More...
	PriorDistribution (const glob::DistributionType priorType, const double xmin, const double xmax, const int seed=1)
	constructor of a flat distribution More...
	PriorDistribution (const glob::DistributionType priorType, const std::vector< double > prior_params, const double xmin, const double xmax, const int seed=1)
	constructor More...
	PriorDistribution (const glob::DistributionType priorType, const distribution_func prior_func, const std::shared_ptr< void > prior_fixed_pars, const std::vector< double > prior_pars, const double xmin, const double xmax, const int seed=1)
	constructor More...
	PriorDistribution (const glob::DistributionType priorType, const std::vector< double > discrete_values, const std::vector< double > weights, const int seed=1)
	constructor More...
	PriorDistribution (const glob::DistributionType priorType, const std::vector< double > var, const std::vector< double > dist, const int nbin, const std::string interpolationType, const int seed=1)
	constructor More...
	PriorDistribution (const glob::DistributionType priorType, const std::vector< double > meanVec, const std::vector< std::vector< double >> covMat, const std::vector< double > xMinVec, const std::vector< double > xMaxVec, const int seed=3213)
	constructor of multidimensional distributions More...
	PriorDistribution (const std::string filename, const std::string path, const std::vector< int > columns_to_read, const int skip_nlines=0, const int type_data=0, const bool normalize=true, const int distNum=200, const double rMAX=2, const double cell_size=2)
	constructor of multidimensional distributions from external chains More...
	~PriorDistribution ()=default
	default destructor

Detailed Description

The class PriorDistribution.

This class is used to define the distribution

Examples

fit.cpp, model_2pt_2D.cpp, model_2pt_monopole_BAO.cpp, model_2pt_monopole_RSD.cpp, model_2pt_multipoles.cpp, model_3pt.cpp, model_cosmology.cpp, model_power_spectrum_angular.cpp, modelling_VoidAbundances.cpp, and prior.cpp.

Definition at line 53 of file PriorDistribution.h.

Constructor & Destructor Documentation

PriorDistribution() [1/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const double  value  )

inline

constructor of a constant distribution

Parameters

priorType	the type of distribution to be created
value	the value to be returned

Definition at line 77 of file PriorDistribution.h.

PriorDistribution() [2/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const double  xmin, const double  xmax, const int  seed = 1  )

inline

constructor of a flat distribution

Parameters

priorType	the type of distribution to be created
xmin	lower limit of the distribution
xmax	upper limit of the distribution
seed	the distribution seed for random sampling

Definition at line 91 of file PriorDistribution.h.

PriorDistribution() [3/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const std::vector< double >  prior_params, const double  xmin, const double  xmax, const int  seed = 1  )

inline

constructor

Parameters

priorType	the type of distribution to be created
prior_params	parameters of the distribution function or discrete list of values for discrete distribution
xmin	lower limit of the distribution
xmax	upper limit of the distribution
seed	the distribution seed for random sampling

Definition at line 108 of file PriorDistribution.h.

PriorDistribution() [4/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const distribution_func  prior_func, const std::shared_ptr< void >  prior_fixed_pars, const std::vector< double >  prior_pars, const double  xmin, const double  xmax, const int  seed = 1  )

inline

constructor

Parameters

priorType	the type of distribution to be created
prior_func	the functional form of the distribution
prior_fixed_pars	the fixed parameters
prior_pars	the distribution parameters
xmin	lower limit of the distribution
xmax	upper limit of the distribution
seed	the distribution seed for random sampling

Definition at line 129 of file PriorDistribution.h.

PriorDistribution() [5/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const std::vector< double >  discrete_values, const std::vector< double >  weights, const int  seed = 1  )

inline

constructor

Parameters

priorType	the type of distribution to be created
discrete_values	list of discrete values
weights	list of weights for discrete values
seed	the distribution seed for random sampling

Definition at line 144 of file PriorDistribution.h.

PriorDistribution() [6/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const std::vector< double >  var, const std::vector< double >  dist, const int  nbin, const std::string  interpolationType, const int  seed = 1  )

inline

constructor

Parameters

priorType	the type of distribution to be created
var	vector containing binned values
dist	list of distribution values for each bin
nbin	the number of bins
interpolationType	the kind of interpolation
seed	the distribution seed for random sampling

Definition at line 163 of file PriorDistribution.h.

PriorDistribution() [7/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const glob::DistributionType  priorType, const std::vector< double >  meanVec, const std::vector< std::vector< double >>  covMat, const std::vector< double >  xMinVec, const std::vector< double >  xMaxVec, const int  seed = 3213  )

inline

constructor of multidimensional distributions

Parameters

priorType	the type of combined distribution to be created (only Gaussian type available for the moment)
meanVec	vector containing the mean of the distributions
covMat	the covariance matrix of the multidimensional distribution
xMinVec	vector containing the minima of the distributions
xMaxVec	vector containing the maxima of the distributions
seed	the distribution seed for random sampling

Definition at line 184 of file PriorDistribution.h.

PriorDistribution() [8/8]

cbl::statistics::PriorDistribution::PriorDistribution ( const std::string  filename, const std::string  path, const std::vector< int >  columns_to_read, const int  skip_nlines = 0, const int  type_data = 0, const bool  normalize = true, const int  distNum = 200, const double  rMAX = 2, const double  cell_size = 2  )

inline

constructor of multidimensional distributions from external chains

Parameters

filename	the name of the file to read
path	the path where the file is stored
columns_to_read	vector of integers correspondent to the columns to read. The first columns has index 1. The last number of the vector represents the column with the values of the Posterior distribution
skip_nlines	the number of lines to skip at the beginning of the file
type_data	the type of data read as last column: 0 \(\rightarrow\) log(posterior), 1 \(\rightarrow\) posterior, 2 \(\rightarrow\) chi2
normalize	if true the posterior distribution is normalized between 0 and 1
distNum	the maximum number of points used to interpolate
rMAX	the radius used to search for close points
cell_size	the size of cells of the normalised chain mesh (each side has lenght 100)

Definition at line 219 of file PriorDistribution.h.

---

The documentation for this class was generated from the following file:

• Headers/PriorDistribution.h