publication venue for
- Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. 1-28. 2021
- Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression. 63:1-11. 2020
- Generalized Computer Model Calibration for Radiation Transport Simulation. 63:1-13. 2020
- Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs. 61:1-30. 2019
- Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data. 60:306-318. 2018
- A Dirichlet Process Gaussian State Machine Model for Change Detection in Transient Processes. 60:373-385. 2018
- Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring. 60:70-78. 2017
- Emulation of Numerical Models With Over-Specified Basis Functions. 59:153-164. 2017
- Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects. 59:391-403. 2017
- Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion. 59:58-68. 2017
- Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. 58:138-147. 2016
- A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.. 57:362-373. 2015
- Editorial. 57:303-304. 2015
- Sequential Exploration of Complex Surfaces Using Minimum Energy Designs. 57:64-74. 2015
- Solving the MEG Inverse Problem: A Robust Two-Way Regularization Method. 57:123-137. 2015
- Building Accurate Emulators for Stochastic Simulations via Quantile Kriging. 56:466-473. 2014
- Surrogate Modeling of Computer Experiments With Different Mesh Densities. 56:372-380. 2014
- Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets. 56:174-185. 2014
- Multivariate Receptor Models for Spatially Correlated Multipollutant Data. 55:309-320. 2013
- Comment: A Brownian Motion Model for Stochastic Simulation With Tunable Precision. 55:29-31. 2013
- Nonparametric Inference for Periodic Sequences. 54:83-96. 2012
- Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments.. 51:464-474. 2009
- Prediction for Computer Experiments Having Quantitative and Qualitative Input Variables. 51:278-288. 2009
- Calculating the Breakdown Point of Sparse Linear Models. 51:34-46. 2009
- Inferring the Interactions in Complex Manufacturing Processes Using Graphical Models. 49:373-381. 2007
- Wavelet-Based Data Reduction Techniques for Process Fault Detection. 48:26-40. 2006
- Optimal Engineering System Design Guided by Data-Mining Methods. 47:336-348. 2005
- Bayesian Prediction Intervals and Their Relationship to Tolerance Intervals. 46:452-459. 2004
- Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models. 45:312-325. 2003
- Diagnostics for Nonlinearity and Heteroscedasticity in Errors-in-Variables Regression. 34:186-196. 1992
- Prediction and Tolerance Intervals With Transformation and/or Weighting. 33:197-210. 1991
- A Quick and Easy Multiple-Use Calibration-Curve Procedure. 30:137-141. 1988
- Discussion. 30:30-31. 1988
- A quick and easy multiple-use calibration-curve procedure. 30:137-141. 1988
- Diagnostics and Robust Estimation When Transforming the Regression Model and the Response. 29:287-299. 1987
- Some New Estimation Methods for Weighted Regression When There Are Possible Outliers. 28:219-230. 1986
- Transformations in Regression: A Robust Analysis. 27:1-12. 1985
- USING PERIODIC AUTOREGRESSIONS FOR MULTIPLE SPECTRAL ESTIMATION. 24:109-116. 1982