tesi/Sampler_8hpp_source.html

#pragma once


#include "Data.hpp"

#include "Likelihood.hpp"

#include "Params.hpp"

#include "Process.hpp"


#include <random>

#include <Rcpp.h>

#include <algorithm>

#include <Eigen/Dense>


class Sampler {

protected:

  // ========== Core Components ==========


  Data &data;


  Params &params;


  Likelihood &likelihood;


  Process &process;


  // ========== Random Number Generation ==========


  std::random_device rd;


public:

  // ========== Constructor ==========


  Sampler(Data &d, Params &p, Likelihood &l, Process &pr)

      : data(d), params(p), likelihood(l), process(pr) {};


  // ========== Pure Virtual Interface ==========


  virtual void step() = 0;


  virtual ~Sampler() = default;

};


Data.hpp
Data structure for managing point distances and cluster allocations.

Likelihood.hpp
Likelihood computation for clustering with cohesion and repulsion.

Params.hpp
Parameter management for Bayesian nonparametric MCMC models.

Process.hpp
Abstract interface for Bayesian nonparametric processes.

Data
Manages distance matrices and cluster allocations for points.
Definition Data.hpp:26

Likelihood
Computes log-likelihood for clusters based on distance-based cohesion and repulsion.
Definition Likelihood.hpp:19

Process
Abstract base class for Bayesian nonparametric processes.
Definition Process.hpp:41

Sampler::likelihood
Likelihood & likelihood
Reference to the likelihood computation object for evaluating cluster assignments.
Definition Sampler.hpp:64

Sampler::Sampler
Sampler(Data &d, Params &p, Likelihood &l, Process &pr)
Constructor initializing sampler with required components.
Definition Sampler.hpp:98

Sampler::~Sampler
virtual ~Sampler()=default
Virtual destructor for proper cleanup of derived classes.

Sampler::params
Params & params
Reference to the parameters object containing model hyperparameters and MCMC settings.
Definition Sampler.hpp:60

Sampler::step
virtual void step()=0
Pure virtual method to perform one MCMC sampling step.

Sampler::data
Data & data
Reference to the data object containing observations and current allocations.
Definition Sampler.hpp:56

Sampler::process
Process & process
Reference to the stochastic process object (DP, NGGP, DPW, NGGPW)
Definition Sampler.hpp:68

Sampler::rd
std::random_device rd
Random device for generating random numbers across sampling algorithms.
Definition Sampler.hpp:74

Params
Structure containing all parameters needed for the NGGP (Normalized Generalized Gamma Process) and DP...
Definition Params.hpp:35