SGLD: Stochastic MCMC using Stochastic gradient Langevin dynamics

View source: R/SGLD.R

SGLDR Documentation

Stochastic MCMC using Stochastic gradient Langevin dynamics

Description

<description>

Usage

SGLD(
  param.cur,
  logpost.fun.name,
  Params,
  Y,
  x0,
  callParam,
  splineArgs,
  priorArgs,
  algArgs,
  Params_Transform
)

Arguments

param.cur

NA

logpost.fun.name

MA

Params

NA

Y

NA

x0

NA

callParam

NA

splineArgs

NA

priorArgs

NA

Params_Transfor

NA

Value

NA

Author(s)

Feng Li, Central University of Finance and Economics.

References

Ma, Chen, & Fox 2015 A Complete Recipe for Stochastic Gradient MCMC.


thiyangt/fformpp documentation built on Jan. 5, 2024, 5:44 a.m.