Bayesian Function-on-Scalars Regression for High-Dimensional Data

DOI10.1080/10618600.2019.1710837OpenAlexW3000056082MaRDI QIDQ5066010

Daniel C. Bourgeois, Daniel R. Kowal

Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1808.06689

zbMATH Keywords

variable selectionshrinkageMCMCfactor modelactigraphy data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (8)

Model Interpretation Through Lower-Dimensional Posterior Summarization ⋮ A causal mediation model for longitudinal mediators and survival outcomes with an application to animal behavior ⋮ Subset Selection for Linear Mixed Models ⋮ Variable selection in nonlinear function‐on‐scalar regression ⋮ Fast, Optimal, and Targeted Predictions Using Parameterized Decision Analysis ⋮ Causal mediation analysis for sparse and irregular longitudinal data ⋮ Bayesian joint modeling of chemical structure and dose response curves ⋮ Shape-constrained estimation in functional regression with Bernstein polynomials

Uses Software

• WinBUGS
• fda (R)
• refund
• gglasso

Cites Work

• Unnamed Item
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• Dynamic Shrinkage Processes
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• Model Selection and Estimation in Regression with Grouped Variables
• Fast BivariateP-Splines: The Sandwich Smoother

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