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Markov Chain Monte Carlo (MCMC) sampling from a posterior distribution corresponding to a massive data set can be computationally prohibitive since producing one sample requires a number of operations that is linear in the data size.
Multivariate adaptive regression splines
Jerome H Friedman · 1991
Earlier work this paper cites.
Bayesian CART model search
Hugh A Chipman, Edward I George, and Robert E McCulloch · 1998
Earlier work this paper cites.
Parallel computing and Monte Carlo algorithms
Jeffrey S Rosenthal · 2000
Earlier work this paper cites.
Population Markov chain Monte Carlo
Kathryn Blackmond Laskey and James W Myers · 2003
Earlier work this paper cites.
Parallel Bayesian computation
Darren J Wilkinson · 2006
Earlier work this paper cites.
Bart: Bayesian additive regression trees
Hugh A Chipman, Edward I George, and Robert E McCulloch · 2010
Cited alongside, same era.
Scinet: lessons learned from building a power-efficient top-20 system and data centre
Chris Loken, Daniel Gruner, Leslie Groer, Richard Peltier, Neil Bunn, Michael Craig, Teresa Henriques, Jillian Dempsey, Ching-Hsing Yu, Joseph Chen, et al · 2010
Cited alongside, same era.
Handbook of Markov Chain Monte Carlo
S. Brooks, A. Gelman, G. L. Jones, and X. Meng, editors · 2011
Cited alongside, same era.
bartmachine: Machine learning with Bayesian additive regression trees
Adam Kapelner and Justin Bleich · 2013
Cited alongside, same era.
Asymptotically exact, embarrassingly parallel MCMC
Willie Neiswanger, Chong Wang, and Eric Xing · 2013
Cited alongside, same era.
2013 ACS 1-YEAR PUMS data
US Bureau of Census · 2013
Later among the works it cites.
Parallelizing MCMC via Weierstrass sampler
Xiangyu Wang and David B Dunson · 2013
Later among the works it cites.
Bayesian computation via Markov chain Monte Carlo
Radu V Craiu and Jeffrey S Rosenthal · 2014
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Efficient Metropolis–Hastings proposal mechanisms for Bayesian regression tree models
Matthew T Pratola et al · 2016
Closest in time.
Bayes and big data: The consensus Monte Carlo algorithm
Steven L Scott, Alexander W Blocker, Fernando V Bonassi, H Chipman, E George, and R McCulloch · 2016
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