Modeling an Augmented Lagrangian for Blackbox Constrained Optimization.
Robert B. Gramacy, Genetha A. Gray, Sebastien Le Digabel, Herbert K.H. Lee, Pritam Ranjan, Garth Wells, Stefan M. Wild
págs. 1-11
Comment: Expected Improvement for Efficient Blackbox Constrained Optimizatio.
Hao Chen, William J. Welch
págs. 12-15
Comment: “Modeling an Augmented Lagrangian for Blackbox Constrained Optimization” by Gramacy et al.
Yichen Cheng, Faming Liang
págs. 15-17
Comment: Some Enhancements Over the Augmented Lagrangian Approach.
Victor Picheny, David Ginsbourger, Tipaluck Krityakierne
págs. 17-21
Comment: The NoMax Strategy and Correlated Outputs.
Warren Hare, Brian J. Williams, Jason L. Loeppky
págs. 22-25
Robert B. Gramacy, Genetha A. Gray, Sebastien Le Digabel, Herbert K.H. Lee, Pritam Ranjan, Garth Wells, Stefan M. Wild
págs. 26-29
Marjorie Jala, Céline Levy-Leduc, Eric Moulines, Emmanuelle Conil, Joe Wiart
págs. 30-42
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques.
Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
págs. 43-49
Sliced Orthogonal Array-Based Latin Hypercube Designs.
Youngdeok Hwang, Peter Z.G. Qian, Xu He
págs. 50-61
Valeria Espinosa, Tirthankar Dasgupta, Donald B. Rubin
págs. 62-73
Blocking Schemes for Definitive Screening Designs.
Bradley Jones, Christopher J. Nachtsheim
págs. 74-83
A Decomposition Strategy for the Variational Inference of Complex Systems.
José M. Laínez Aguirre, Linas Mockus, Seza Orçun, Gary Blau, Gintaras V. Reklaitis
págs. 84-94
Tail Estimation for Window-Censored Processes.
Holger Rootzén, Dmitrii Zholud
págs. 95-103
A Multivariate EWMA Controller for Linear Dynamic Processes.
Sheng-Tsaing Tseng, Hsin-Chao Mi, I.-Chen Lee
págs. 104-115
Exploiting Structure of Maximum Likelihood Estimators for Extreme Value Threshold Selection.
J.L. Wadsworth
págs. 116-126
Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation.
Ying Sun, Huixia J. Wang, Montserrat Fuentes
págs. 127-137
Short-Term Wind Speed Forecast Using Measurements From Multiple Turbines in A Wind Farm.
Arash Pourhabib, Jianhua Z. Huang, Yu Ding
págs. 138-147
Scaled Predictor Envelopes and Partial Least-Squares Regression.
R. Dennis Cook, Zhihua Su
págs. 155-165
Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models.
M. T. Pratola, David M. Higdon
págs. 166-179
Monotonic Quantile Regression With Bernstein Polynomials for Stochastic Simulation.
Matthias H. Y. Tan
págs. 180-190
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis.
Kamran Paynabar, Changliang Zou, Peihua Qiu
págs. 191-204
Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences.
Petter Arnesen, Tracy Holsclaw, Padhraic Smyth
págs. 205-213
Chuanlong Du, Daniel J. Nordman, Stephen B. Vardeman
págs. 214-224
Prior-Free Probabilistic Prediction of Future Observations.
Ryan Martin, Rama T. Lingham
págs. 225-235
Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach.
Samuel W.K. Wong, Conroy Lum, Lang Wu, James V. Zidek
págs. 236-243
Sheng-Tsaing Tseng, I.-Chen Lee
págs. 244-254
Comparing the Slack-Variable Mixture Model With Other Alternatives.
Lulu Kang, Javier Cruz Salgado, William A. Brenneman
págs. 255-268
Optimal Experimental Designs in the Flow Rate of Particles.
Mariano Amo Salas , Elvira Delgado Márquez, Jesús López Fidalgo
págs. 269-276
Peihua Qiu
págs. 283-284
Orthogonalizing EM: A Design-Based Least Squares Algorithm.
Shifeng Xiong, Bin Dai, Jared Huling, Peter Z.G. Qian
págs. 285-293
© 2008-2025 Fundación Dialnet · Todos los derechos reservados