liarsdice::bayesian::UniformPrior class

Uniform distribution prior - minimally informative prior.

Base classes

template<typename T = double> class PriorDistribution<double>: Abstract base class for prior distributions in Bayesian analysis.

auto pdf(T x) const -> T override: Evaluate the probability density at a given point.
auto log_pdf(T x) const -> T override: Evaluate the log probability density.
auto cdf(T x) const -> T override: Evaluate the cumulative distribution function.
auto sample(boost::random::mt19937& gen) const -> T override: Generate a random sample from the distribution.
auto mean() const -> T override: Get the mean of the distribution.
auto variance() const -> T override: Get the variance of the distribution.
auto mode() const -> std::optional<T> override: Get the mode of the distribution (if exists)
auto support() const -> std::pair<T, T> override: Get the support of the distribution.
auto name() const -> std::string override: Get the name of the distribution.
auto clone() const -> std::unique_ptr<PriorDistribution<T>> override: Clone the distribution.

Evaluate the probability density at a given point.

Parameters
x	Point at which to evaluate the PDF
Returns	Probability density value

Evaluate the log probability density.

Parameters
x	Point at which to evaluate the log PDF
Returns	Log probability density value

Evaluate the cumulative distribution function.

Parameters
x	Point at which to evaluate the CDF
Returns	Cumulative probability

Generate a random sample from the distribution.

Parameters
gen	Random number generator
Returns	Random sample

Get the support of the distribution.

Returns	Pair of (lower_bound, upper_bound)