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Journal of the American Statistical Association Volume 95, 2000 - Issue 451
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Theory and Method

Bayesian Regression Modeling with Interactions and Smooth Effects

Paul Gustafson Department of Statistics, University of British Columbia, Vancouver, B.C., Canada, V6T 1Z2
Pages 795-806 | Received 01 Jul 1998, Published online: 17 Feb 2012

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Lu Tian, Ash A. Alizadeh, Andrew J. Gentles & Robert Tibshirani. (2014) A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates. Journal of the American Statistical Association 109:508, pages 1517-1532.
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Matteo Pedone, Amedeo Amedei & Francesco C. Stingo. (2023) Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis. The Annals of Applied Statistics 17:1.
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Shintaro Yuki, Kensuke Tanioka & Hiroshi Yadohisa. (2022) Estimation and visualization of heterogeneous treatment effects for multiple outcomes. Statistics in Medicine 42:5, pages 693-715.
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Scott Powers, Junyang Qian, Kenneth Jung, Alejandro Schuler, Nigam H. Shah, Trevor Hastie & Robert Tibshirani. (2018) Some methods for heterogeneous treatment effect estimation in high dimensions. Statistics in Medicine 37:11, pages 1767-1787.
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Jean-Eudes Dazard, Hemant Ishwaran, Rajeev Mehlotra, Aaron Weinberg & Peter Zimmerman. (2018) Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting. Statistical Applications in Genetics and Molecular Biology 17:1.
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Jim Griffin & Phil Brown. (2017) Hierarchical Shrinkage Priors for Regression Models. Bayesian Analysis 12:1.
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Frank E. Harrell ,Frank E. HarrellJr.Jr.. 2015. Regression Modeling Strategies. Regression Modeling Strategies 13 44 .
S. McKay Curtis, Sayantan Banerjee & Subhashis Ghosal. (2014) Fast Bayesian model assessment for nonparametric additive regression. Computational Statistics & Data Analysis 71, pages 347-358.
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Sayantan Banerjee & Subhashis Ghosal. (2014) Bayesian variable selection in generalized additive partial linear models. Stat 3:1, pages 363-378.
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Brian J. Reich, Eric Kalendra, Curtis B. Storlie, Howard D. Bondell & Montserrat Fuentes. (2012) Variable Selection for High Dimensional Bayesian Density Estimation: Application to Human Exposure Simulation. Journal of the Royal Statistical Society Series C: Applied Statistics 61:1, pages 47-66.
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David J. Nott & Li Jialiang. (2009) A sign based loss approach to model selection in nonparametric regression. Statistics and Computing 20:4, pages 485-498.
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W. González-Manteiga, M. D. Martínez-Miranda & R. Raya-Miranda. (2008) SiZer Map for inference with additive models. Statistics and Computing 18:3, pages 297-312.
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Christina M. R. Kitchen, Robert E. Weiss, Gang Liu & Terri Wrin. (2006) HIV‐1 viral fitness estimation using exchangeable on subsets priors and prior model selection. Statistics in Medicine 26:5, pages 975-990.
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