Name | Description | Type | Package | Framework |
AbstractHybridMCMC | Hybrid Monte Carlo, or Hamiltonian Monte Carlo, is a method that combines the traditional Metropolis algorithm, with molecular dynamics simulation. | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |
ErgodicHybridMCMC | A simple decorator which will randomly vary dt between each sample. | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |
HybridMCMC | This class implements a hybrid MCMC algorithm. | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |
LeapFrogging | The leap-frogging algorithm is a method for simulating Molecular Dynamics, which isSee Also:"Jun S. | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |
LeapFrogging .DynamicsState | Contains the entire state (both the position and the momentum) at a given point in time. | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |
MultipointHybridMCMC | A multi-point Hybrid Monte Carlo is an extension of HybridMCMC, where during the proposal generation instead of considering only the last configuration after the dynamics | Class | com.numericalmethod.suanshu.stats.random.rng.multivariate.mcmc.hybrid | SuanShu |