BART: Bayesian additive regression trees

Mathematics

• Regression Tree 99%
• Predictors 62%
• Ensemble Methods 56%
• Drug Discovery 54%
• Backfitting Algorithm 54%
• MCMC Algorithm 48%
• Boosting 45%
• Bayesian Nonparametrics 42%
• Point Estimate 40%
• Simulation Experiment 37%
• Classification Problems 37%
• Regression Function 35%
• Variable Selection 35%
• Statistical Model 33%
• Likelihood 29%
• Regularization 29%
• Inclusion 27%
• Regression 26%
• Model 22%
• Unknown 22%
• Interval 19%
• Estimate 15%

Business & Economics

• Regression Tree 100%
• Predictors 48%
• Variable Selection 41%
• Inference 37%
• Statistical Model 31%
• Drug Discovery 30%
• Regularization 29%
• Markov Chain Monte Carlo 27%
• Marginal Effects 26%
• Simulation Experiment 24%
• Boosting 23%
• Inclusion 18%

Engineering & Materials Science

• Drug Discovery 45%
• Statistical Models 30%
• Experiments 12%