liarsdice::bayesian::PoissonLikelihood class

Poisson likelihood for count data.

Models the number of events in a fixed interval

Base classes

template<typename T = double> class LikelihoodFunction<double>: Abstract base class for likelihood functions in Bayesian analysis.

auto evaluate(T theta, T observation) const -> T override: Evaluate likelihood for a single observation.
auto evaluate(T theta, const vector_type& observations) const -> T override: Evaluate likelihood for multiple observations.
auto sufficient_statistics(const vector_type& observations) const -> vector_type override: Get the sufficient statistics for the data.
auto family() const -> std::string override: Get the family name of the likelihood.
auto clone() const -> std::unique_ptr<LikelihoodFunction<T>> override: Clone the likelihood function.
auto has_conjugate_prior() const -> bool override: Check if the likelihood has a conjugate prior.
auto conjugate_prior_family() const -> std::optional<std::string> override: Get the name of the conjugate prior family (if exists)

Evaluate likelihood for a single observation.

Evaluate likelihood for multiple observations.

Get the sufficient statistics for the data.

Parameters
observations	Data points
Returns	Vector of sufficient statistics