bayesian namespace
Classes
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template<typename T = double>class BayesianAnalyzer
- Core Bayesian analysis engine for statistical inference.
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template<typename T = double>class BernoulliLikelihood
- Bernoulli likelihood for binary outcomes.
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template<typename T = double>class BetaPrior
- Beta distribution prior - conjugate for Bernoulli/Binomial likelihoods.
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template<typename T = double>class BinomialLikelihood
- Binomial likelihood for count data.
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template<typename T = double>class CustomLikelihood
- Custom likelihood function wrapper.
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template<typename T = double>class GammaPrior
- Gamma distribution prior - conjugate for Poisson and Exponential likelihoods.
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template<typename T = double>class LikelihoodFunction
- Abstract base class for likelihood functions in Bayesian analysis.
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template<typename T = double>class NormalKnownVarianceLikelihood
- Normal likelihood with known variance.
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template<typename T = double>class NormalPrior
- Normal distribution prior - conjugate for Normal likelihood with known variance.
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template<typename T = double>class PoissonLikelihood
- Poisson likelihood for count data.
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template<typename T = double>class PosteriorCalculator
- Calculates posterior distributions with numerical stability.
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template<typename T = double>class PriorDistribution
- Abstract base class for prior distributions in Bayesian analysis.
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template<typename T = double>class UniformPrior
- Uniform distribution prior - minimally informative prior.
Functions
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template<>auto create_conjugate_analyzer<double>(const std::string& likelihood_family, const std::unordered_map<std::string, double>& hyperparameters) -> std::shared_ptr<BayesianAnalyzer<double>>
- auto create_conjugate_analyzer<float>(const std::string&, const std::unordered_map<std::string, float>&) -> template std::shared_ptr<BayesianAnalyzer<float>>
- auto create_conjugate_analyzer<long double>(const std::string&, const std::unordered_map<std::string, long double>&) -> template std::shared_ptr<BayesianAnalyzer<long double>>
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template<typename T = double>auto create_conjugate_analyzer(const std::string& likelihood_family, const std::unordered_map<std::string, T>& hyperparameters) -> std::shared_ptr<BayesianAnalyzer<T>>
- Factory function for creating analyzers with conjugate priors.
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template<typename T = double>auto create_likelihood(const std::string& family_name, const std::vector<T>& parameters = {}) -> std::unique_ptr<LikelihoodFunction<T>>
- Factory function for creating common likelihood functions.
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template<typename T = double>auto create_prior(const std::string& distribution_name, const std::vector<T>& parameters) -> std::unique_ptr<PriorDistribution<T>>
- Factory function for creating common prior distributions.
Function documentation
template<>
std::shared_ptr<BayesianAnalyzer<double>> liarsdice::
template std::shared_ptr<BayesianAnalyzer<float>> liarsdice::
template std::shared_ptr<BayesianAnalyzer<long double>> liarsdice::
template<typename T = double>
std::shared_ptr<BayesianAnalyzer<T>> liarsdice::
Factory function for creating analyzers with conjugate priors.
Automatically selects appropriate conjugate prior for common likelihood families
template<typename T = double>
std::unique_ptr<LikelihoodFunction<T>> liarsdice::
Factory function for creating common likelihood functions.
template<typename T = double>
std::unique_ptr<PriorDistribution<T>> liarsdice::
Factory function for creating common prior distributions.