Bayesian Estimation and Experimental Design in Linear Regression Models

Tom Leonard · Jürgen Pilz

180 citations0/0 files storedJournal of the American Statistical Association

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Optimal Experimental Design Methods Statistical Methods and Bayesian Inference Advanced Statistical Methods and Models

Abstract

Estimation and Design as a Bayesian Decision Problem Choice of a Prior Distribution Conjugate Prior Distributions Bayes Estimation of the Regression Parameter Optimality and Robustness of the Bayes Estimator Bayesian Interpretation of Estimators Using Non-Bayesian Prior Knowledge Bayes Estimation in Case of Prior Ignorance Further Problems The Design Problem for the Linear Bayes Estimator Characterization of Optimal Designs Construction of Optimal Continuous Designs Construction of Exact Optimal Designs.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 180 citations exist upstream.

Cited by

1994A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model 1999Coherent dispersion criteria for optimal experimental design 2010Optimal experimental design 2006Design issues for generalized linear models: A review 1996The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems 2001E-optimal designs for rational models 2013Model‐based design of experiments for cellular processes 2009Spatial sampling design and covariance-robust minimax prediction based on convex design ideas

Imported from OpenAlex (CC0) — nothing here is generated.