Bayesian sequential design for copula models
From MaRDI portal
Publication:2195747
DOI10.1007/S11749-019-00661-7zbMath1447.62091OpenAlexW2746949093MaRDI QIDQ2195747
Christopher C. Drovandi, James M. McGree, S. G. J. Senarathne
Publication date: 27 August 2020
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://eprints.qut.edu.au/109855/58/109855.pdf
parameter estimationutility functionsequential Monte Carlomodel discriminationsequential designtotal entropy
Optimal statistical designs (62K05) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Sequential statistical design (62L05) Sequential estimation (62L12)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design
- Adaptive Bayesian compound designs for dose finding studies
- An introduction to copulas.
- Design of experiments for bivariate binary responses modelled by copula functions
- Bayesian experimental design: A review
- Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design
- Model selection for discrete regular vine copulas
- \(D_s\)-optimality in copula models
- An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
- Markov chains for exploring posterior distributions. (With discussion)
- Optimal design to discriminate between rival copula models for a bivariate binary response
- Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data
- Monte Carlo strategies in scientific computing.
- Design selection criteria for discrimination/estimation for nested models and a binomial re\-sponse
- Optimal designs for copula models
- Sequential Monte Carlo Samplers
- Joint Regression Analysis of Correlated Data Using Gaussian Copulas
- The Equivalence of Constrained and Weighted Designs in Multiple Objective Design Problems
- Approaches for Optimal Sequential Decision Analysis in Clinical Trials
- An Optimal Experimental Design Criterion for Discriminating Between Non-Normal Models
- On Information and Sufficiency
This page was built for publication: Bayesian sequential design for copula models