15 citations · 31 across the 9 of their papers we have counts for
3 papers · 1 filter
Sequential Monte Carlo for Cut-Bayesian Posterior Computation
Joseph Mathews, Giri Gopalan, James Gattiker +2
We propose a sequential Monte Carlo (SMC) method to efficiently and accurately compute cut-Bayesian posterior quantities of interest, variations of standard Bayesian approaches con…
Applications of Quantum Annealing in Statistics
Robert C. Foster, Brian Weaver, James Gattiker
Quantum computation offers exciting new possibilities for statistics. This paper explores the use of the D-Wave machine, a specialized type of quantum computer, which performs quan…
Parallel Bayesian Additive Regression Trees
Matthew T. Pratola, Hugh A. Chipman, James R. Gattiker +3
Bayesian Additive Regression Trees (BART) is a Bayesian approach to flexible non-linear regression which has been shown to be competitive with the best modern predictive methods su…