publication venue for
- The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling. 65:70-82. 2023
- Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. ahead-of-print:1-13. 2023
- Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. 64:92-102. 2022
- Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression. 63:160-170. 2021
- Generalized Computer Model Calibration for Radiation Transport Simulation. 63:27-39. 2021
- Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs. 61:297-308. 2019
- A Dirichlet Process Gaussian State Machine Model for Change Detection in Transient Processes. 60:373-385. 2018
- Bayesian Spatial Multivariate Receptor Modeling for Multisite Multipollutant Data. 60:306-318. 2018
- Quantifying Nanoparticle Mixing State to Account for Both Particle Location and Size Effects (vol 59, pg 391, 2017). 60:133-133. 2018
- Quantifying Nanoparticle Mixing State to Account for Both Location and Size Effects. 59:391-403. 2017
- Emulation of Numerical Models With Over-Specified Basis Functions. 59:153-164. 2017
- Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring. 60:70-78. 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
- Untitled. 57:303-304. 2015
- Sequential Exploration of Complex Surfaces Using Minimum Energy Designs. 57:64-74. 2015
- Building Accurate Emulators for Stochastic Simulations via Quantile Kriging. 56:466-473. 2014
- Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model. 56:381-392. 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-+. 2013
- Nonparametric Inference for Periodic Sequences. 54:83-96. 2012
- Calculating the Breakdown Point of Sparse Linear Models. 51:34-46. 2009
- 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
- An Invariant Approach to Statistical Analysis of Shapes. 46:364-365. 2004
- 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
- Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods. 44:194-194. 2002
- Statistical Analysis of Circular Data. 37:229-230. 1995
- Prediction and Tolerance Intervals With Transformation and/or Weighting. 33:197-210. 1991
- Engineering Applications of Stochastic Processes. 33:120-120. 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