65 mutable std::mt19937
gen;
232 void step()
override;
Abstract base class for MCMC sampling algorithms.
Manages distance matrices and cluster allocations for points.
Definition Data.hpp:26
Abstract base class for likelihood computation.
Definition Likelihood.hpp:26
std::mt19937 gen
Mersenne Twister random number generator for sampling operations.
Definition neal_ZDNAM.hpp:65
void step() override
Perform one complete iteration of Neal's Algorithm 3 with ZDNAM.
Definition neal_ZDNAM.cpp:229
void step_1_observation(int index)
Update cluster assignment for a single observation using ZDNAM.
Definition neal_ZDNAM.cpp:194
int sample_from_log_probs(const std::vector< double > &log_probs)
Sample from log probabilities using standard Gibbs sampling.
Neal3ZDNAM(Data &d, Likelihood &l, Process &pr)
Constructor for Neal's Algorithm 3 with ZDNAM sampler.
Definition neal_ZDNAM.hpp:198
std::vector< double > compute_zdnam_probabilities(const std::vector< double > &log_probs, int current_k)
Compute ZDNAM transition probabilities from current state.
Definition neal_ZDNAM.cpp:17
int sample_from_log_probs_zdnam(const std::vector< double > &log_probs, int current_k)
Sample from log probabilities using ZDNAM to avoid self-transitions.
Definition neal_ZDNAM.cpp:151
Abstract base class for Bayesian nonparametric processes.
Definition Process.hpp:40
std::random_device rd
Random device for generating random numbers across sampling algorithms.
Definition Sampler.hpp:67
Sampler(Data &d, const Likelihood &l, Process &pr)
Constructor initializing sampler with required components.
Definition Sampler.hpp:89