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Stochastic Tree Ensembles for Regularized Nonlinear Regression
Jingyu He,
P. Richard Hahn
Mathematical and Statistical Sciences, School of (SoMSS)
Research output
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Contribution to journal
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Article
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peer-review
3
Scopus citations
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Dive into the research topics of 'Stochastic Tree Ensembles for Regularized Nonlinear Regression'. Together they form a unique fingerprint.
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Mathematics
Nonlinear Regression
86%
Ensemble
73%
Ensemble Methods
62%
Recursive Partitioning
58%
Regression Tree
54%
MCMC Algorithm
53%
Stochastic Search
51%
Search Strategy
50%
Bayesian Modeling
50%
Credible Interval
47%
Pointwise Estimates
44%
Test function
39%
Stationary Distribution
37%
Coverage
36%
Neural Networks
35%
Regularization
32%
Markov chain
30%
Prediction
29%
Simulation Study
26%
Alternatives
23%
Demonstrate
22%
Performance
22%
Standards
20%
Model
12%
Business & Economics
Nonlinear Regression
100%
Bayesian Modeling
41%
Regression Tree
36%
Regularization
32%
Stationary Distribution
31%
Search Strategy
30%
Markov Chain Monte Carlo
29%
Neural Networks
29%
Partitioning
29%
Markov Chain
27%
Simulation Study
23%
Prediction
20%
Alternatives
11%
Performance
9%