9 Computer experiments. - James R. Koehler; Art B. Owen (Design and analysis of experiments, 1996)

Empirical error-confidence Curves for Neural Network and Gaussian Classifiers. - Gregory J. Wolff; David G. Stork; Art B. Owen (Int. J. Neural Syst., 1996)

Monto Carlo Extension of Quasi-Monte Carlo. - Art B. Owen (WSC, 1998)

Scrambling Sobol' and Niederreiter-Xing Points. - Art B. Owen (J. Complex., 1998)

Latin Supercube Sampling for Very High-Dimensional Simulations. - Art B. Owen (ACM Trans. Model. Comput. Simul., 1998)

Quasi-regression. - Jian An; Art B. Owen (J. Complex., 2001)

Data Squashing by Empirical Likelihood. - Art B. Owen (Data Min. Knowl. Discov., 2003)

Quasi-regression with shrinkage. - Tao Jiang 009; Art B. Owen (Math. Comput. Simul., 2003)

Variance with alternative scramblings of digital nets. - Art B. Owen (ACM Trans. Model. Comput. Simul., 2003)

On the Warnock-Halton quasi-standard error. - Art B. Owen (Monte Carlo Methods Appl., 2006)

Halton Sequences Avoid the Origin. - Art B. Owen (SIAM Rev., 2006)

Infinitely Imbalanced Logistic Regression. - Art B. Owen (J. Mach. Learn. Res., 2007)

Properties of Balanced Permutations. - Lucinda K. Southworth; Stuart K. Kim; Art B. Owen (J. Comput. Biol., 2009)

Outlier Detection Using Nonconvex Penalized Regression - Yiyuan She; Art B. Owen (CoRR, 2010)

A Rotation Test to Verify Latent Structure. - Patrick O. Perry; Art B. Owen (J. Mach. Learn. Res., 2010)

One Permutation Hashing. - Ping Li 001; Art B. Owen; Cun-Hui Zhang (NIPS, 2012)

One Permutation Hashing for Efficient Search and Learning - Ping Li 001; Art B. Owen; Cun-Hui Zhang (CoRR, 2012)

Moment-Based Estimation of Stochastic Kronecker Graph Parameters. - David F. Gleich; Art B. Owen (Internet Math., 2012)

Variance Components and Generalized Sobol' Indices. - Art B. Owen (SIAM/ASA J. Uncertain. Quantification, 2013)

Better estimation of small sobol' sensitivity indices. - Art B. Owen (ACM Trans. Model. Comput. Simul., 2013)

Extensible grids: uniform sampling on a space-filling curve. - Zhijian He; Art B. Owen (CoRR, 2014)

Sobol' Indices and Shapley Value. - Art B. Owen (SIAM/ASA J. Uncertain. Quantification, 2014)

Moment based gene set tests. - Jessica L. Larson; Art B. Owen (BMC Bioinform., 2015)

Statistically efficient thinning of a Markov chain sampler. - Art B. Owen (CoRR, 2015)

Low Discrepancy Constructions in the Triangle. - Kinjal Basu 001; Art B. Owen (SIAM J. Numer. Anal., 2015)

Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square. - Kinjal Basu 001; Art B. Owen (CoRR, 2016)

A constraint on extensible quadrature rules. - Art B. Owen (Numerische Mathematik, 2016)

Transformations and Hardy-Krause Variation. - Kinjal Basu 001; Art B. Owen (SIAM J. Numer. Anal., 2016)

A randomized Halton algorithm in R. - Art B. Owen (CoRR, 2017)

Importance sampling the union of rare events with an application to power systems analysis. - Art B. Owen; Yury Maximov; Michael Chertkov (CoRR, 2017)

Scrambled Geometric Net Integration Over General Product Spaces. - Kinjal Basu 001; Art B. Owen (Found. Comput. Math., 2017)

On Shapley Value for Measuring Importance of Dependent Inputs. - Art B. Owen; Clémentine Prieur (SIAM/ASA J. Uncertain. Quantification, 2017)

Unreasonable effectiveness of Monte Carlo. - Art B. Owen (CoRR, 2019)

Explaining black box decisions by Shapley cohort refinement. - Masayoshi Mase; Art B. Owen; Benjamin Seiler (CoRR, 2019)

Editorial: special edition on probabilistic numerics. - Mark A. Girolami; Ilse C. F. Ipsen; Chris J. Oates; Art B. Owen; Timothy John Sullivan (Stat. Comput., 2019)

Effective Dimension of Some Weighted Pre-Sobolev Spaces with Dominating Mixed Partial Derivatives. - Art B. Owen (SIAM J. Numer. Anal., 2019)

On Dropping the First Sobol' Point. - Art B. Owen (MCQMC, 2020)

A strong law of large numbers for scrambled net integration. - Art B. Owen (CoRR, 2020)

Mean Dimension of Ridge Functions. - Christopher R. Hoyt; Art B. Owen (SIAM J. Numer. Anal., 2020)

The Square Root Rule for Adaptive Importance Sampling. - Art B. Owen; Yi Zhou (ACM Trans. Model. Comput. Simul., 2020)

Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. - Ben J. Marafino; Alejandro Schuler; Vincent X. Liu; Art B. Owen; Gabriel J. Escobar; Michael T. M. Baiocchi (AMIA, 2021)

Quasi-Newton Quasi-Monte Carlo for variational Bayes. - Sifan Liu; Art B. Owen (CoRR, 2021)

Cohort Shapley value for algorithmic fairness. - Masayoshi Mase; Art B. Owen; Benjamin B. Seiler (CoRR, 2021)

What makes you unique? - Benjamin Seiler; Masayoshi Mase; Art B. Owen (CoRR, 2021)

Probing neural networks with t-SNE, class-specific projections and a guided tour. - Christopher R. Hoyt; Art B. Owen (CoRR, 2021)

An open question about powers of log(n) in quasi-Monte Carlo. - Art B. Owen; Zexin Pan (CoRR, 2021)

Quasi-Monte Carlo Quasi-Newton in Variational Bayes. - Sifan Liu; Art B. Owen (J. Mach. Learn. Res., 2021)

Density Estimation by Randomized Quasi-Monte Carlo. - Amal Ben Abdellah; Pierre L'Ecuyer; Art B. Owen; Florian Puchhammer (SIAM/ASA J. Uncertain. Quantification, 2021)

Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification. - Art B. Owen; Christopher R. Hoyt (SIAM/ASA J. Uncertain. Quantification, 2021)

A Strong Law of Large Numbers for Scrambled Net Integration. - Art B. Owen; Daniel Rudolf (SIAM Rev., 2021)

Pre-integration via Active Subspaces. - Sifan Liu; Art B. Owen (CoRR, 2022)

Variable importance without impossible data. - Masayoshi Mase; Art B. Owen; Benjamin B. Seiler (CoRR, 2022)

Model free Shapley values for high dimensional data. - Naofumi Hama; Masayoshi Mase; Art B. Owen (CoRR, 2022)

Super-polynomial accuracy of one dimensional randomized nets using the median of means. - Zexin Pan; Art B. Owen (Math. Comput., 2022)

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators. - Pierre L'Ecuyer; Marvin K. Nakayama; Art B. Owen; Bruno Tuffin (WSC, 2023)

Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy. - Michael Gnewuch; Peter Kritzer; Art B. Owen; Zexin Pan (CoRR, 2023)

Deletion and Insertion Tests in Regression Models. - Naofumi Hama; Masayoshi Mase; Art B. Owen (J. Mach. Learn. Res., 2023)

The nonzero gain coefficients of Sobol's sequences are always powers of two. - Zexin Pan; Art B. Owen (J. Complex., 2023)

Preintegration via Active Subspace. - Sifan Liu; Art B. Owen (SIAM J. Numer. Anal., 2023)

Quasi-Monte Carlo Methods in Python. - Pamphile T. Roy; Art B. Owen; Maximilian Balandat; Matt Haberland (J. Open Source Softw., 2023)

Super-polynomial accuracy of multidimensional randomized nets using the median-of-means. - Zexin Pan; Art B. Owen (Math. Comput., 2024)

Mean Dimension of Radial Basis Functions. - Christopher R. Hoyt; Art B. Owen (SIAM J. Numer. Anal., 2024)

Gain Coefficients for Scrambled Halton Points. - Art B. Owen; Zexin Pan (SIAM J. Numer. Anal., 2024)

Skewness of a randomized quasi-Monte Carlo estimate. - Zexin Pan; Art B. Owen (J. Complex., 2025)

Error estimation for quasi-Monte Carlo. - Art B. Owen (CoRR, 2025)

Coverage errors for Student's t confidence intervals comparable to those in Hall (1988). - Art B. Owen (CoRR, 2025)

Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo. - Aadit Jain; Fred J. Hickernell; Art B. Owen; Aleksei G. Sorokin (CoRR, 2025)

Quasi-Monte Carlo with one categorical variable. - Valerie N. P. Ho; Art B. Owen; Zexin Pan (CoRR, 2025)

On the optimization of discrepancy measures. - François Clément; Nathan Kirk; Art B. Owen; T. Konstantin Rusch (CoRR, 2025)