Citations (63)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (8)
Kyung Suk Jang & Gun Jin Yun. (2024) Information-driven optimal experimental design with deep neural network surrogate model for composite materials. Mechanics of Advanced Materials and Structures 31:1, pages 210-217.
Read now
Read now
Joshua Lukemire, Abhyuday Mandal & Weng Kee Wong. (2022) Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications. Journal of Quality Technology 54:2, pages 184-196.
Read now
Read now
Brian P. Weaver & William Q. Meeker. (2021) Bayesian Methods for Planning Accelerated Repeated Measures Degradation Tests. Technometrics 63:1, pages 90-99.
Read now
Read now
Antony M. Overstall, David C. Woods & Ben M. Parker. (2020) Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science. Journal of the American Statistical Association 115:530, pages 583-598.
Read now
Read now
Joshua Lukemire, Abhyuday Mandal & Weng Kee Wong. (2019) d-QPSO: A Quantum-Behaved Particle Swarm Technique for Finding D-Optimal Designs With Discrete and Continuous Factors and a Binary Response. Technometrics 61:1, pages 77-87.
Read now
Read now
I-Chen Lee, Yili Hong, Sheng-Tsaing Tseng & Tirthankar Dasgupta. (2018) Sequential Bayesian Design for Accelerated Life Tests. Technometrics 60:4, pages 472-483.
Read now
Read now
David C. Woods, Antony M. Overstall, Maria Adamou & Timothy W. Waite. (2017) Rejoinder. Quality Engineering 29:1, pages 115-118.
Read now
Read now
David C. Woods, Antony M. Overstall, Maria Adamou & Timothy W. Waite. (2017) Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application. Quality Engineering 29:1, pages 91-103.
Read now
Read now
Articles from other publishers (55)
Katie Buchhorn, Kerrie Mengersen, Edgar Santos-Fernandez, Erin E Peterson & James M McGree. (2024) Bayesian design with sampling windows for complex spatial processes. Journal of the Royal Statistical Society Series C: Applied Statistics 73:2, pages 378-397.
Crossref
Crossref
Morenikeji D. Akinlotan, David J. Warne, Kate J. Helmstedt, Sarah A. Vollert, Iadine Chadès, Ryan F. Heneghan, Hui Xiao & Matthew P. Adams. (2024) Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters. Ecological Indicators 160, pages 111828.
Crossref
Crossref
Davood Poursina & B. Wade Brorsen. (2023) Fully Bayesian economically optimal design for a spatially varying coefficient linear stochastic plateau model over multiple years. Stochastic Environmental Research and Risk Assessment 38:3, pages 1089-1098.
Crossref
Crossref
Tom Rainforth, Adam Foster, Desi R. Ivanova & Freddie Bickford Smith. (2024) Modern Bayesian Experimental Design. Statistical Science 39:1.
Crossref
Crossref
Belmiro P.M. Duarte, Anthony C. Atkinson & Nuno M.C. Oliveira. (2024) Using hierarchical information-theoretic criteria to optimize subsampling of extensive datasets. Chemometrics and Intelligent Laboratory Systems 245, pages 105067.
Crossref
Crossref
Dustin Taylor, Steven E. Rigdon, Rong Pan & Douglas C. Montgomery. (2022) Bayesian D‐optimal design for life testing with censoring. Quality and Reliability Engineering International 40:1, pages 71-90.
Crossref
Crossref
Simon Valentin, Steven Kleinegesse, Neil R Bramley, Peggy Seriès, Michael U Gutmann & Christopher G Lucas. (2024) Designing optimal behavioral experiments using machine learning. eLife 13.
Crossref
Crossref
Alexander Aushev, Aini Putkonen, Grégoire Clarté, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski & Andrew Howes. (2023) Online Simulator-Based Experimental Design for Cognitive Model Selection. Computational Brain & Behavior 6:4, pages 719-737.
Crossref
Crossref
Samuel I Watson, Alan Girling & Karla Hemming. (2023) Optimal study designs for cluster randomised trials: An overview of methods and results. Statistical Methods in Medical Research 32:11, pages 2135-2157.
Crossref
Crossref
Wanggang Shen & Xun Huan. (2023) Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning. Computer Methods in Applied Mechanics and Engineering 416, pages 116304.
Crossref
Crossref
Akın Özdemir & Mehmet Turkoz. (2023) Robust design modeling and optimization for dealing with a non-convex design space. Computers & Industrial Engineering 185, pages 109688.
Crossref
Crossref
Samuel I. Watson & Yi Pan. (2023) Evaluation of combinatorial optimisation algorithms for c-optimal experimental designs with correlated observations. Statistics and Computing 33:5.
Crossref
Crossref
Joshua J. Bon, Adam Bretherton, Katie Buchhorn, Susanna Cramb, Christopher Drovandi, Conor Hassan, Adrianne L. Jenner, Helen J. Mayfield, James M. McGree, Kerrie Mengersen, Aiden Price, Robert Salomone, Edgar Santos-Fernandez, Julie Vercelloni & Xiaoyu Wang. (2023) Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 381:2247.
Crossref
Crossref
Belmiro P. M. Duarte, Anthony C. Atkinson, Satya P. Singh & Marco S. Reis. (2022) Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests. Statistical Papers 64:2, pages 587-615.
Crossref
Crossref
S. G. J. Senarathne, Werner G. Müller & James M. McGree. (2023) Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring. Biometrical Journal 65:4.
Crossref
Crossref
Dennis Prangle, Sophie Harbisher & Colin S. Gillespie. (2023) Bayesian Experimental Design Without Posterior Calculations: An Adversarial Approach. Bayesian Analysis 18:1.
Crossref
Crossref
Susan Anyosa, Jo Eidsvik & Oscar Pizarro. (2023) Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping. Computational Statistics & Data Analysis 179, pages 107643.
Crossref
Crossref
Liwei Cao, Danilo Russo, Emily Matthews, Alexei Lapkin & David Woods. (2023) Computer-aided design of formulated products: A bridge design of experiments for ingredient selection. Computers & Chemical Engineering 169, pages 108083.
Crossref
Crossref
Nathan Braniff, Taylor Pearce, Zixuan Lu, Michael Astwood, William S. R. Forrest, Cody Receno & Brian Ingalls. (2022) NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology. ACS Synthetic Biology 11:12, pages 3921-3928.
Crossref
Crossref
Andrew Gill, David J. Warne, Clare McGrory, James M. McGree & Antony M. Overstall. (2022) Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation.
Antony Overstall & James McGree. (2022) Bayesian Decision-Theoretic Design of Experiments Under an Alternative Model. Bayesian Analysis 17:4.
Crossref
Crossref
John N. Ng’ombe & B. Wade Brorsen. (2022) Bayesian optimal dynamic sampling procedures for on-farm field experimentation. Precision Agriculture 23:6, pages 2289-2311.
Crossref
Crossref
Robert D. McMichael & Sean M. Blakley. (2022) Simplified Algorithms for Adaptive Experiment Design in Parameter Estimation. Physical Review Applied 18:5.
Crossref
Crossref
Yiolanda Englezou, Timothy W. Waite & David C. Woods. (2022) Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models. Statistics and Computing 32:5.
Crossref
Crossref
Jacopo Paglia, Jo Eidsvik & Juha Karvanen. (2021) Efficient spatial designs using Hausdorff distances and Bayesian optimization. Scandinavian Journal of Statistics 49:3, pages 1060-1084.
Crossref
Crossref
Markus Hainy, David J. Price, Olivier Restif & Christopher Drovandi. (2022) Optimal Bayesian design for model discrimination via classification. Statistics and Computing 32:2.
Crossref
Crossref
Quan Long. (2021) Multimodal information gain in Bayesian design of experiments. Computational Statistics 37:2, pages 865-885.
Crossref
Crossref
Lu Lu & Christine M. Anderson‐Cook. (2021) Input‐response space‐filling designs. Quality and Reliability Engineering International 37:8, pages 3529-3551.
Crossref
Crossref
Lin Wang, Jake Elmstedt, Weng Kee Wong & Hongquan Xu. (2021) Orthogonal subsampling for big data linear regression. The Annals of Applied Statistics 15:3.
Crossref
Crossref
Steven Kleinegesse, Christopher Drovandi & Michael U. Gutmann. (2021) Sequential Bayesian Experimental Design for Implicit Models via Mutual Information. Bayesian Analysis 16:3.
Crossref
Crossref
L Cabona, P T P Viana, M Landoni & J P Faria. (2021) Scheduling strategies for the ESPRESSO follow-up of TESS targets. Monthly Notices of the Royal Astronomical Society 503:4, pages 5504-5521.
Crossref
Crossref
C. F. Jeff Wu & Michael Hamada. 2021. Experiments. Experiments
589
609
.
Elham Mahmoudi & Raoul Hölter. 2021. Modeling in Geotechnical Engineering. Modeling in Geotechnical Engineering
1
36
.
Belmiro P. M. Duarte & Guillaume Sagnol. (2019) Approximate and exact optimal designs for $$2^k$$ factorial experiments for generalized linear models via second order cone programming. Statistical Papers 61:6, pages 2737-2767.
Crossref
Crossref
S. G. J. Senarathne, C. C. Drovandi & J. M. McGree. (2020) A Laplace-based algorithm for Bayesian adaptive design. Statistics and Computing 30:5, pages 1183-1208.
Crossref
Crossref
Joakim Beck, Ben Mansour Dia, Luis Espath & Raúl Tempone. (2020) Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design. International Journal for Numerical Methods in Engineering 121:15, pages 3482-3503.
Crossref
Crossref
S. G. J. Senarathne, C. C. Drovandi & J. M. McGree. (2019) Bayesian sequential design for Copula models. TEST 29:2, pages 454-478.
Crossref
Crossref
Hayden Moffat, Markus Hainy, Nikos E. Papanikolaou & Christopher Drovandi. (2020) Sequential experimental design for predator–prey functional response experiments. Journal of The Royal Society Interface 17:166, pages 20200156.
Crossref
Crossref
Antony Overstall & James McGree. (2020) Bayesian Design of Experiments for Intractable Likelihood Models Using Coupled Auxiliary Models and Multivariate Emulation. Bayesian Analysis 15:1.
Crossref
Crossref
Zhihang Xu & Qifeng Liao. (2020) Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design. Entropy 22:2, pages 258.
Crossref
Crossref
Grace P. S. Kwong, Rob Deardon, Scott Hunt & Michele T. Guerin. (2020) Bayesian Design of Agricultural Disease Transmission Experiments for Individual Level Models. Statistical Communications in Infectious Diseases 12:1.
Crossref
Crossref
Yiou Li, Lulu Kang & Fred J. Hickernell. 2020. Contemporary Experimental Design, Multivariate Analysis and Data Mining. Contemporary Experimental Design, Multivariate Analysis and Data Mining
69
92
.
A. Rappold, W.G. Müller & D.C. Woods. (2019) Copula‐based robust optimal block designs. Applied Stochastic Models in Business and Industry 36:1, pages 210-219.
Crossref
Crossref
Lulu Kang & Xiao Huang. (2019) Bayesian A-Optimal Design of Experiment with Quantitative and Qualitative Responses. Journal of Statistical Theory and Practice 13:4.
Crossref
Crossref
Umberto Noè, Alan Lazarus, Hao Gao, Vinny Davies, Benn Macdonald, Kenneth Mangion, Colin Berry, Xiaoyu Luo & Dirk Husmeier. (2019) Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance. Journal of The Royal Society Interface 16:156, pages 20190114.
Crossref
Crossref
C. S. Gillespie & R. J. Boys. (2018) Efficient construction of Bayes optimal designs for stochastic process models. Statistics and Computing 29:4, pages 697-706.
Crossref
Crossref
Antony M. Overstall, David C. Woods & Kieran J. Martin. (2019) Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics. Computational Statistics & Data Analysis 132, pages 126-142.
Crossref
Crossref
Robert Lee. (2019) Statistical Design of Experiments for Screening and Optimization. Chemie Ingenieur Technik 91:3, pages 191-200.
Crossref
Crossref
Mohammad Mahdi Rajabi. (2019) Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation. Stochastic Environmental Research and Risk Assessment 33:2, pages 607-631.
Crossref
Crossref
David J. Price, Nigel G. Bean, Joshua V. Ross & Jonathan Tuke. (2018) An induced natural selection heuristic for finding optimal Bayesian experimental designs. Computational Statistics & Data Analysis 126, pages 112-124.
Crossref
Crossref
Mahasen B. Dehideniya, Christopher C. Drovandi & James M. McGree. (2018) Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology. Computational Statistics & Data Analysis 124, pages 277-297.
Crossref
Crossref
Brian J. Reich, Krishna Pacifici & Jonathan W. Stallings. (2018) Integrating auxiliary data in optimal spatial design for species distribution modelling. Methods in Ecology and Evolution 9:6, pages 1626-1637.
Crossref
Crossref
René Schenkendorf, Xiangzhong Xie, Moritz Rehbein, Stephan Scholl & Ulrike Krewer. (2018) The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design. Processes 6:4, pages 27.
Crossref
Crossref
Christopher C. Drovandi & Minh-Ngoc Tran. (2018) Improving the Efficiency of Fully Bayesian Optimal Design of Experiments Using Randomised Quasi-Monte Carlo. Bayesian Analysis 13:1.
Crossref
Crossref
Antony M. Overstall, James M. McGree & Christopher C. Drovandi. (2017) An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing 28:2, pages 343-358.
Crossref
Crossref