sgmcmc:An R Package for Stochastic Gradient Markov Chain Monte Carlo

Jack Baker
Jack Baker
Christopher John Nemeth
Christopher John Nemeth

JOURNAL OF STATISTICAL SOFTWARE, pp. 1.0-27.0, 2019.

Cited by: 5|Views9

Abstract:

This paper introduces the R package sgmcmc; which can be used for Bayesian inference on problems with large data sets using stochastic gradient Markov chain Monte Carlo (SGMCMC). Traditional Markov chain Monte Carlo (MCMC) methods, such as Metropolis-Hastings, are known to run prohibitively slowly as the data set size increases. SGMCMC so...More

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