William J Welch
William J Welch
Professor of Statistics, University of British Columbia
Verified email at - Homepage
Cited by
Cited by
The design and analysis of computer experiments
TJ Santner, BJ Williams, WI Notz, BJ Williams
Springer, 2003
Efficient global optimization of expensive black-box functions
DR Jones, M Schonlau, WJ Welch
Journal of Global optimization 13, 455-492, 1998
Designs for computer experiments
J Sacks, SB Schiller, WJ Welch
Technometrics 31 (1), 41-47, 1989
Taguchi's parameter design: a panel discussion
VN Nair, B Abraham, J MacKay, G Box, RN Kacker, TJ Lorenzen, ...
Technometrics 34 (2), 127-161, 1992
Screening, predicting, and computer experiments
WJ Welch, RJ Buck, J Sacks, HP Wynn, TJ Mitchell, MD Morris
Technometrics 34 (1), 15-25, 1992
Choosing the sample size of a computer experiment: A practical guide
JL Loeppky, J Sacks, WJ Welch
Technometrics 51 (4), 366-376, 2009
Global versus local search in constrained optimization of computer models
M Schonlau, WJ Welch, DR Jones
Lecture notes-monograph series, 11-25, 1998
Computer experiments for quality control by parameter design
W. J. Welch, T. K. Yu, S. M. Kang, and J. Sacks
Journal of Quality Technology 22, 15-22, 1990
Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria
WJ Welch
Technometrics 24 (1), 41-48, 1982
Construction of permutation tests
WJ Welch
Journal of the American Statistical Association 85 (411), 693-698, 1990
Algorithmic complexity: three NP-hard problems in computational statistics
WJ Welch
Journal of Statistical Computation and Simulation 15 (1), 17-25, 1982
Integrated circuit design optimization using a sequential strategy
MC Bernardo, R Buck, L Liu, WA Nazaret, J Sacks, WJ Welch
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 1992
Computer-aided design of experiments for response estimation
WJ Welch
Technometrics 26 (3), 217-224, 1984
A mean squared error criterion for the design of experiments
WJ Welch
Biometrika 70 (1), 205-213, 1983
Toxic colors: the use of deep learning for predicting toxicity of compounds merely from their graphic images
M Fernandez, F Ban, G Woo, M Hsing, T Yamazaki, E LeBlanc, ...
Journal of chemical information and modeling 58 (8), 1533-1543, 2018
Arctic sea ice variability: Model sensitivities and a multidecadal simulation
WL Chapman, WJ Welch, KP Bowman, J Sacks, JE Walsh
Journal of Geophysical Research: Oceans 99 (C1), 919-935, 1994
Fisher information and maximum‐likelihood estimation of covariance parameters in Gaussian stochastic processes
M Abt, WJ Welch
Canadian Journal of Statistics 26 (1), 127-137, 1998
A system for quality improvement via computer experiments
WJ Welch, J Sacks
Communications in statistics-Theory and methods 20 (2), 477-495, 1991
Screening the input variables to a computer model via analysis of variance and visualization
M Schonlau, WJ Welch
Screening: methods for experimentation in industry, drug discovery, and …, 2006
Computer model calibration or tuning in practice
J Loeppky, D Bingham, W Welch
University of British Columbia, Vancouver, BC, Canada, 2006
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