Bayesian estimation on semiparametric models with shape restricted B-splines

DOI10.1080/03610918.2017.1311915OpenAlexW2603628035MaRDI QIDQ5084918

Jianhua Ding

Publication date: 29 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1311915

zbMATH Keywords

truncated normal distributionMarkov chain Monte Carlo samplerpenalized B-splinesshape constrains

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)

Uses Software

• SemiPar
• pyuvdata

Cites Work

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• Inference using shape-restricted regression splines
• A simple nonparametric estimator of a strictly monotone regression function
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• Efficient sampling methods for truncated multivariate normal and Student-\(t\) distributions subject to linear inequality constraints
• Convex analysis in the semiparametric model with Bernstein polynomials
• Bayesian Isotonic Regression and Trend Analysis
• ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES
• A Bayesian Approach to Non-Parametric Monotone Function Estimation
• Monotone B-Spline Smoothing
• Semiparametric Regression
• Estimating a Convex Function in Nonparametric Regression
• Point Estimates of Ordinates of Concave Functions

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