A transformation approach for incorporating monotone or unimodal constraints

DOI10.1093/biostatistics/kxi020zbMath1071.62101OpenAlexW2143661751WikidataQ46438772 ScholiaQ46438772MaRDI QIDQ5694085

Laura H. Gunn, David B. Dunson

Publication date: 29 September 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxi020

zbMATH Keywords

Gibbs samplerOrder-restricted inferenceChangepointHormone measurementsMenstrual cycleNested dataProgesteroneShape constraint

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric inference under constraints (62F30)

Related Items (10)

Estimation of multi-way tables subject to coherence constraints ⋮ Testing constancy in monotone response models ⋮ Estimation of conditional mean operator under the bandable covariance structure ⋮ Unimodal regression using Bernstein–Schoenberg splines and penalties ⋮ Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties ⋮ Post-processed posteriors for sparse covariances ⋮ Minkowski–Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study ⋮ Bayesian method for causal inference in spatially-correlated multivariate time series ⋮ Bayesian Inferences on Umbrella Orderings ⋮ Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints

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