A Review of Modern Computational Algorithms for Bayesian Optimal Design

Simulation-based fully Bayesian experimental design for mixed effects models

(2015) Elizabeth G. Ryan et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Fully Bayesian Experimental Design for Pharmacokinetic Studies

(2015) Elizabeth Ryan et al.   Entropy

Optimal experiment design for model selection in biochemical networks

(2014) Joep Vanlier et al.   BMC Systems Biology

GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

(2014) Xun Huan et al.   International Journal for Uncertainty Quantification

Bayesian Experimental Design for Models with Intractable Likelihoods

(2013) Christopher C. Drovandi et al.   BIOMETRICS

Towards Bayesian experimental design for nonlinear models that require a large number of sampling times

(2013) Elizabeth G. Ryan et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations

(2013) Quan Long et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Maximizing the Information Content of Experiments in Systems Biology

(2013) Juliane Liepe et al.   PLoS Computational Biology

Sequential stopping for high-throughput experiments

(2012) D. Rossell et al.   BIOSTATISTICS

Sequential Markov Chain Monte Carlo (MCMC) model discrimination

(2012) Samira Masoumi et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data

(2012) Christopher C. Drovandi et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design

(2012) Christopher C. Drovandi et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Simulation-based optimal Bayesian experimental design for nonlinear systems

(2012) Xun Huan et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Adaptive Bayesian compound designs for dose finding studies

(2012) J.M. McGree et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Response-adaptive dose-finding under model uncertainty

(2011) Björn Bornkamp et al.   Annals of Applied Statistics

Simulation-Based Optimal Design Using a Response Variance Criterion

(2011) Antti Solonen et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Approximate Bayesian computation using indirect inference

(2011) Christopher C. Drovandi et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Explaining Variational Approximations

(2010) J. T. Ormerod et al.   AMERICAN STATISTICIAN

Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation

(2010) C. C. Drovandi et al.   BIOMETRICS

Sequential designs for ordinal phase I clinical trials

(2009) Guohui Liu et al.   BIOMETRICAL JOURNAL

Bayesian optimum designs for discriminating between models with any distribution

(2009) C. Tommasi et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Optimal Design Criteria for Discrimination and Estimation in Nonlinear Models

(2009) T. H. Waterhouse et al.   Journal of Biopharmaceutical Statistics

Optimal designs for both model discrimination and parameter estimation

(2009) C. Tommasi   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Batch sequential designs for computer experiments

(2009) Jason L. Loeppky et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science

(2009) Daniel R. Cavagnaro et al.   NEURAL COMPUTATION

Sequential Optimal Design of Neurophysiology Experiments

(2008) Jeremy Lewi et al.   NEURAL COMPUTATION

DT-optimum designs for model discrimination and parameter estimation

(2007) A.C. Atkinson   JOURNAL OF STATISTICAL PLANNING AND INFERENCE