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Optimal Experimental Design Methods

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001Regret-weighted Bayes Fusion for Distributed Experimental DesignOpenAlexPaperNagananda K G, Lav R. Varshney et al.Jul 13
002A Type II Square-Discriminant Framework for Sums of Three CubesOpenAlexPaperBob JeffersonMay 7
003Why Six? A Multi-Objective Optimality Theorem from Entropy MaximizationOpenAlexPaperTECS-L ProjectApr 4
004Why Six? A Multi-Objective Optimality Theorem from Entropy MaximizationOpenAlexPaperTECS-L ProjectApr 4
005An MCDM Framework for Selecting Approximate Capacitance Models of Interdigitated Electrodes Using WASPASOpenAlexPaperSathiyaraj ChinnasamyJan 19
006Contrastive Mixture Diffusion ModelsOpenAlexPaperJen‐Tzung Chien, Chih-Chun ChenJan 1
007Fitting high-dimensional mixture cure models using the hdcuremodels R packageOpenAlexPaperKellie J. Archer, Han FuDec 31, 2025
008MDCcure: An R package for martingale difference correlation and hypothesis testing in mixture cure modelsOpenAlexPaperBlanca E. Monroy-Castillo, M Amalia Jácome et al.Oct 24, 2025
009Sharp mean-field analysis of permutation mixtures and permutation-invariant decisionsOpenAlexPaperY. T. Liang, Yanjun HanSep 16, 2025
010Uniform Additivity of Tripartite Optimized Correlation MeasuresOpenAlexPaperJoshua Levin, Ariel Shlosberg et al.Dec 24, 2024
011Analogue of the Neyman--Pearson Lemma for Several Simple HypothesesOpenAlexPaperM P SavelovNov 1, 2024
012Testing for no effect in regression problems: A permutation approachOpenAlexPaperMichał Ciszewski, Jakob Söhl et al.Jun 21, 2024
013Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designsOpenAlexPaperHoffmann, Adam Gorm, Claus Thorn Ekstrøm et al.Jun 19, 2024
014Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in estimating the mean squared error of the least squares estimator in linear regressionOpenAlexPaperMarieke Stolte, Nicholas Schreck et al.May 15, 2024
015A Review of Optimization Techniques: Applications and Comparative AnalysisOpenAlexPaperAhmed Hasan Alridha, Fouad Hamza Abd Alsharify et al.Jan 5, 2024
016Energetic Variational Gaussian Process Regression for Computer ExperimentsOpenAlexPaperLulu Kang, Yuanxing Cheng et al.Dec 31, 2023
017Solving the Optimal Experiment Design Problem with Mixed-Integer Convex MethodsOpenAlexPaperHendrych, Deborah, Mathieu Besançon et al.Dec 18, 2023
018Robust expected improvement for Bayesian optimizationOpenAlexPaperRyan B. Christianson, Robert B. GramacyOct 31, 2023
019A Mathematical Programming Approach to Sparse Canonical Correlation AnalysisOpenAlexPaperLavinia Amorosi, Tullia Padellini et al.Sep 4, 2023
020Machine Learning Alternatives to Response Surface ModelsOpenAlexPaperBadih Ghattas, Diane ManzonAug 4, 2023
021ACE: Active Learning for Causal Inference with Expensive ExperimentsOpenAlexPaperDifan Song, Simon Mak et al.Jun 13, 2023
022Constrained Gaussian Process for Signal Integrity applications using Variational InferenceOpenAlexPaperThong Nguyen, Bobi Shi et al.Jun 11, 2023
023Functional repeated measures analysis of variance and its applicationOpenAlexPaperKatarzyna Kuryło, Łukasz SmagaJun 6, 2023
024Robust expected improvement for Bayesian optimizationarXivPaperRyan B. Christianson, Robert B. GramacyFeb 16, 2023
025P-values and confidence intervals of linear rank tests for left-truncated data under truncated binomial designOpenAlexPaperAbd El-Raheem M. Abd El-Raheem, Kholoud S. Kamal et al.Jan 29, 2023
026Application of Virtual Sample Generation and Screening in ProcessParameter Optimization of Botanical Medicinal MaterialsOpenAlexPaperYalin Guan, Juan Chen et al.Jan 18, 2023
027Optimal Subsampling Design for Polynomial Regression in one CovariateOpenAlexPaperTorsten Reuter, Rainer SchwabeJan 9, 2023
028Additional file 1 of Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experimentsOpenAlexPaperPatrick M. Carry, Tim Vigers et al.Jan 1, 2023
029Bayesian Optimal Experimental Design for Inferring Causal StructureOpenAlexPaperMichele S. Zemplenyi, Jeffrey W. MillerOct 3, 2022
030Mixing of Building Blocks and Single-Point CrossoverOpenAlexPaperKumara Sastry, David E. GoldbergSep 14, 2022
031Goodness-of-fit graphical assessment for a broad family of unimodal distributionsOpenAlexPaperPere Grima Cintas, José A. Sánchez-Espigares et al.Jun 3, 2022
032Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservationOpenAlexPaperBoya Zhang, Robert B. Gramacy et al.Jun 1, 2022
033MemToolbox2D codeOpenAlexPaperJohn P GroganFeb 8, 2022
034An integrated surrogate model constructing method: Annealing combinable Gaussian processOpenAlexPaperBinglin Wang, Liang Yan et al.Jan 15, 2022
035Gaussian Process Modeling for Dissolution Curve ComparisonsOpenAlexPaperTony Pourmohamad, Cristian M. Oliva Avilés et al.Dec 18, 2021
036Prior Predictive Checks for the Method of Covariances in Bayesian Mediation AnalysisOpenAlexPaperCamiel van Zundert, Emma Somer et al.Dec 15, 2021
037A statistical simulation method for causality inference of Boolean variablesOpenAlexPaperWenjun ZhangDec 1, 2021
038Active learning of continuous-time Bayesian networks through interventions*OpenAlexPaperDominik Linzner, Heinz KoepplDec 1, 2021
039Multi-group Gaussian ProcessesOpenAlexPaperDidong Li, Andrew Jones et al.Oct 15, 2021
040A Bayesian semiparametric accelerate failure time mixture cure modelOpenAlexPaperYijun Wang, Weiwei Wang et al.Sep 29, 2021
041A Crest-Factor Optimization Algorithm for Multisine Signals based on the Evolutionary Role Playing Game TheoryOpenAlexPaperAhmed Yahia Kallel, Olfa KanounSep 29, 2021
042Parameter selection in Gaussian process interpolation: an empirical study of selection criteriaarXivPaperSébastien Petit, Julien Bect et al.Jul 13, 2021
043Variable Selection Using Nearest Neighbor Gaussian ProcessesOpenAlexPaperKonstantin Posch, Maximilian Arbeiter et al.Mar 26, 2021
044Optimal design subsampling from Big DatasetsOpenAlexPaperLaura Deldossi, Chiara TommasiMar 4, 2021
045Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under UncertaintyarXivPaperSimon Olofsson, Eduardo S. Schultz et al.Feb 7, 2021
046Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot MicroscopyOpenAlexPaperMaik Pfefferkorn, Michael Maiworm et al.Dec 14, 2020
047LowCon: A Design-based Subsampling Approach in a Misspecified Linear ModelOpenAlexPaperCheng Meng, Rui Xie et al.Nov 2, 2020
048Testing Homogeneity for Normal Mixture Models: Variational Bayes ApproachOpenAlexPaperNatsuki KARIYA, Sumio WATANABEOct 31, 2020
049LowCon: A design-based subsampling approach in a misspecified linear modeLOpenAlexPaperCheng Meng, Rui Xie et al.Oct 23, 2020
050Targeted design for adaptive clinical trials via semiparametric modelOpenAlexPaperHongbin Zhang, Ao Yuan et al.Oct 8, 2020
051Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical InputsarXivPaperDominik Kirchhoff, Sonja KuhntOct 6, 2020
052Approximation Algorithms for<i>D</i>-optimal DesignOpenAlexPaperMohit Singh, Weijun XieSep 4, 2020
053GAMLSS for high-variability data: an application to liver fibrosis caseOpenAlexPaperAndrea Marletta, Mariangela SciandraJul 13, 2020
054Can Single Solution Optimisation Methods Be Structurally Biased?OpenAlexPaperAnna V. Kononova, Fabio Caraffini et al.Jul 1, 2020
055A fully Bayesian mixture model approach for identifying noncompliance in a regulatory tobacco clinical trialOpenAlexPaperAlexander Kaizer, Joseph S. KoopmeinersJan 21, 2020

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