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ORCIDTechnometrics, Volume 58
Volume 58, Number 1, 2016
- Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel
, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild:
Modeling an Augmented Lagrangian for Blackbox Constrained Optimization. 1-11 - Hao Chen, William J. Welch:
Comment: Expected Improvement for Efficient Blackbox Constrained Optimization. 12-15 - Yichen Cheng, Faming Liang:
Comment: "Modeling an Augmented Lagrangian for Blackbox Constrained Optimization" by Gramacy et al. 15-17 - Victor Picheny, David Ginsbourger, Tipaluck Krityakierne:
Comment: Some Enhancements Over the Augmented Lagrangian Approach. 17-21 - Warren L. Hare, Brian J. Williams, Jason L. Loeppky:
Comment: The NoMax Strategy and Correlated Outputs. 22-25 - Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild:
Rejoinder. 26-29
- Marjorie Jala, Céline Lévy-Leduc, Eric Moulines, Emmanuelle Conil, Joe Wiart:
Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields. 30-42 - Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong:
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques. 43-49 - Youngdeok Hwang, Xu He, Peter Z. G. Qian:
Sliced Orthogonal Array-Based Latin Hypercube Designs. 50-61 - Valeria Espinosa, Tirthankar Dasgupta, Donald B. Rubin:
A Bayesian Perspective on the Analysis of Unreplicated Factorial Experiments Using Potential Outcomes. 62-73 - Bradley A. Jones, Christopher J. Nachtsheim:
Blocking Schemes for Definitive Screening Designs. 74-83 - José M. Laínez-Aguirre, Linas Mockus, Seza Orçun, Gary Blau, Gintaras V. Reklaitis:
A Decomposition Strategy for the Variational Inference of Complex Systems. 84-94 - Holger Rootzén, Dmitrii Zholud:
Tail Estimation for Window-Censored Processes. 95-103 - Sheng-Tsaing Tseng, Hsin-Chao Mi, I-Chen Lee:
A Multivariate EWMA Controller for Linear Dynamic Processes. 104-115 - Jennifer L. Wadsworth:
Exploiting Structure of Maximum Likelihood Estimators for Extreme Value Threshold Selection. 116-126 - Ying Sun, Huixia Judy Wang, Montserrat Fuentes:
Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation. 127-137 - Arash Pourhabib, Jianhua Z. Huang, Yu Ding:
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm. 138-147
Volume 58, Number 2, 2016
- R. Dennis Cook, Zhihua Su:
Scaled Predictor Envelopes and Partial Least-Squares Regression. 155-165 - Matthew T. Pratola, David M. Higdon:
Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models. 166-179 - Matthias H. Y. Tan:
Monotonic Quantile Regression With Bernstein Polynomials for Stochastic Simulation. 180-190 - Kamran Paynabar, Changliang Zou, Peihua Qiu:
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis. 191-204 - Petter Arnesen, Tracy Holsclaw, Padhraic Smyth:
Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences. 205-213 - Chuanlong Du, Daniel J. Nordman, Stephen B. Vardeman:
Bayesian Inference for a New Class of Distributions on Equivalence Classes of Three-Dimensional Orientations With Applications to Materials Science. 214-224 - Ryan Martin, Rama T. Lingham:
Prior-Free Probabilistic Prediction of Future Observations. 225-235 - Samuel W. K. Wong, Conroy Lum, Lang Wu, James V. Zidek:
Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach. 236-243 - Sheng-Tsaing Tseng, I-Chen Lee:
Optimum Allocation Rule for Accelerated Degradation Tests With a Class of Exponential-Dispersion Degradation Models. 244-254 - Lulu Kang, Javier Cruz Salgado, William A. Brenneman:
Comparing the Slack-Variable Mixture Model With Other Alternatives. 255-268 - Mariano Amo-Salas, Elvira Delgado-Márquez, Jesús López-Fidalgo:
Optimal Experimental Designs in the Flow Rate of Particles. 269-276
Volume 58, Number 3, 2016
Editorial
- Peihua Qiu:
Big Data? More Challenges! 283-284
- Shifeng Xiong, Bin Dai, Jared D. Huling, Peter Z. G. Qian:
Orthogonalizing EM: A Design-Based Least Squares Algorithm. 285-293 - Robert B. Gramacy, Benjamin Haaland:
Speeding Up Neighborhood Search in Local Gaussian Process Prediction. 294-303 - Faming Liang, Jinsu Kim, Qifan Song:
A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data. 304-318 - Stefano Castruccio, Marc G. Genton:
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature. 319-328 - Kary L. Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens:
Partitioning a Large Simulation as It Runs. 329-340 - Haim Avron, Vikas Sindhwani:
High-Performance Kernel Machines With Implicit Distributed Optimization and Randomization. 341-349 - Chunming Zhang, Yi Chai, Xiao Guo, Muhong Gao, David M. Devilbiss, Zhengjun Zhang:
Statistical Learning of Neuronal Functional Connectivity. 350-359 - Donggeng Xia, Shawn Mankad, George Michailidis:
Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework. 360-370 - Zhenyu Shi, Daniel W. Apley, George C. Runger:
Discovering the Nature of Variation in Nonlinear Profile Data. 371-382 - Yu-kun Zhang, Xuewen Lu, Anthony F. Desmond:
Variable Selection in a Log-Linear Birnbaum-Saunders Regression Model for High-Dimensional Survival Data via the Elastic-Net and Stochastic EM. 383-392 - Elizabeth D. Schifano, Jing Wu, Chun Wang, Jun Yan, Ming-Hui Chen:
Online Updating of Statistical Inference in the Big Data Setting. 393-403
Volume 58, Number 4, 2016
- Peihua Qiu:
Editor's Report.
- Robert Tibshirani, Xiaotong Suo:
An Ordered Lasso and Sparse Time-Lagged Regression. - Mia Hubert, Tom Reynkens, Eric Schmitt, Tim Verdonck:
Sparse PCA for High-Dimensional Data With Outliers. - Xiaoming Huo, Gábor J. Székely:
Fast Computing for Distance Covariance. - Nan Chen, Xuemin Zi, Changliang Zou:
A Distribution-Free Multivariate Control Chart. - Xiaobei Shen, Kwok-Leung Tsui, Changliang Zou, William H. Woodall:
Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes. - Huijing Jiang, Xinwei Deng, Vanessa López, Hendrik F. Hamann:
Online Updating of Computer Model Output Using Real-Time Sensor Data. - Yongxiang Li, Qiang Zhou:
Pairwise Meta-Modeling of Multivariate Output Computer Models Using Nonseparable Covariance Function. - Hengzhen Huang, Dennis K. J. Lin, Min-Qian Liu, Jian-Feng Yang:
Computer Experiments With Both Qualitative and Quantitative Variables. - Zhi-Sheng Ye, Loon-Ching Tang:
Augmenting the Unreturned for Field Data With Information on Returned Failures Only.
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