synchronous2_hmc_coupling: Syncronous coupling of two HMC proposals
In jeremyhengjm/UnbiasedMultilevel: Unbiased estimators for discretized models
Description
Usage
Arguments
Value
View source: R/synchronous2_hmc_coupling.R
Description
Sampling of common momentum for both particles and leapfrog integration
Usage
1
synchronous2_hmc_coupling(level, chain_state1, chain_state2, identical, tuning)
Arguments
level
an integer number that determines probability distribution in the multi-level approach
chain_state1
a vector with the position of the first particle
chain_state2
a vector with the position of the second particle
identical
a boolean variable takes the value True if two chains coincide and False otherwise
tuning
a list that contains parameters required for leapfrog integration: stepsize and number os steps
Value
a list with updated values of the states of the first and the second chain, velocites of each of the particles, initial velocity (random sample from normal distribution), updated value of the "identical" flag and cost of computations
jeremyhengjm/UnbiasedMultilevel documentation built on Dec. 20, 2021, 11:03 p.m.
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Description Usage Arguments Value
View source: R/synchronous2_hmc_coupling.R
Description
Sampling of common momentum for both particles and leapfrog integration
Usage
1 | synchronous2_hmc_coupling(level, chain_state1, chain_state2, identical, tuning)
|
Arguments
level |
an integer number that determines probability distribution in the multi-level approach |
chain_state1 |
a vector with the position of the first particle |
chain_state2 |
a vector with the position of the second particle |
identical |
a boolean variable takes the value True if two chains coincide and False otherwise |
tuning |
a list that contains parameters required for leapfrog integration: stepsize and number os steps |
Value
a list with updated values of the states of the first and the second chain, velocites of each of the particles, initial velocity (random sample from normal distribution), updated value of the "identical" flag and cost of computations
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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