namespace Gambit::Stats

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Functions

Name
doublegaussian_loglikelihood(double theory, double obs, double theoryerr, double obserr, bool profile_systematics)
Use a detection to compute a simple chi-square-like log likelihood, for the case when obs is Gaussian distributed.
doublelognormal_loglikelihood(double theory, double obs, double theoryerr, double obserr, bool profile_systematics)
doublelognormal_loglikelihood_relerror(double theory, double obs, double reltheoryerr, double relobserr, bool profile_systematics)
doublegaussian_upper_limit(double theory, double obs, double theoryerr, double obserr, bool profile_systematics)
Use a detection to compute a gaussian log-likelihood for an upper limit.
doublegaussian_lower_limit(double theory, double obs, double theoryerr, double obserr, bool profile_systematics)
Use a detection to compute a gaussian log-likelihood for a lower limit.
voidtest_likelihoods()
A simple tester routine for the likelihood functions.

Attributes

Name
const doublelogmin
Minimum finite result returnable from log(double x);.

Functions Documentation

function gaussian_loglikelihood

double gaussian_loglikelihood(
    double theory,
    double obs,
    double theoryerr,
    double obserr,
    bool profile_systematics
)

Use a detection to compute a simple chi-square-like log likelihood, for the case when obs is Gaussian distributed.

function lognormal_loglikelihood

double lognormal_loglikelihood(
    double theory,
    double obs,
    double theoryerr,
    double obserr,
    bool profile_systematics
)

Use a detection to compute a simple chi-square-like log likelihood, for the case when obs is log-normal distributed. Version that takes absolute errors.

function lognormal_loglikelihood_relerror

double lognormal_loglikelihood_relerror(
    double theory,
    double obs,
    double reltheoryerr,
    double relobserr,
    bool profile_systematics
)

Use a detection to compute a simple chi-square-like log likelihood, for the case when obs is log-normal distributed. Version that takes fractional (relative) errors.

function gaussian_upper_limit

double gaussian_upper_limit(
    double theory,
    double obs,
    double theoryerr,
    double obserr,
    bool profile_systematics
)

Use a detection to compute a gaussian log-likelihood for an upper limit.

function gaussian_lower_limit

double gaussian_lower_limit(
    double theory,
    double obs,
    double theoryerr,
    double obserr,
    bool profile_systematics
)

Use a detection to compute a gaussian log-likelihood for a lower limit.

function test_likelihoods

void test_likelihoods()

A simple tester routine for the likelihood functions.

Attributes Documentation

variable logmin

const double logmin = log(std::numeric_limits<double>::min());

Minimum finite result returnable from log(double x);.


Updated on 2024-07-18 at 13:53:32 +0000