namespace Gambit::Stats #

[No description available]

Functions #

Attributes #

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