Sparse partitioning: nonlinear regression with binary or tertiary predictors, with application to association studies

DOI10.1214/10-AOAS411zbMath1232.62049arXiv1101.0632OpenAlexW3104824024MaRDI QIDQ641140

Simon Tavaré, Doug Speed

Publication date: 21 October 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1101.0632

zbMATH Keywords

nonlinear regressionlarge \(p\) small \(n\) problemssparse Bayesian modeling

Mathematics Subject Classification ID

Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35) General nonlinear regression (62J02)

Related Items (1)

Sparse partitioning: nonlinear regression with binary or tertiary predictors, with application to association studies

Uses Software

• SSS
• BayesDA
• LogicReg

Cites Work

• Sparse partitioning: nonlinear regression with binary or tertiary predictors, with application to association studies
• Bayesian Analysis of Binary and Polychotomous Response Data
• Shotgun Stochastic Search for “Largep” Regression
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests
• Unnamed Item
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