C. F. Jeff Wu
#37,344
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American statistician
C. F. Jeff Wu's AcademicInfluence.com Rankings
C. F. Jeff Wumathematics Degrees
Mathematics
#3387
World Rank
#5009
Historical Rank
#1265
USA Rank
Statistics
#278
World Rank
#337
Historical Rank
#101
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Mathematics
C. F. Jeff Wu's Degrees
- PhD Statistics University of California, Berkeley
- Masters Statistics Stanford University
- Bachelors Mathematics National Taiwan University
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Why Is C. F. Jeff Wu Influential?
(Suggest an Edit or Addition)According to Wikipedia, Chien-Fu Jeff Wu is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He is known for his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of experiments, and robust parameter design .
C. F. Jeff Wu's Published Works
Published Works
- The Use of a Canonical Form in the Construction of Locally Optimal Designs for Non‐Linear Problems (1992) (267)
- A catalogue of two-level and three-level fractional factorial designs with small runs (1993) (265)
- Columnwise-pairwise algorithms with applications to the construction of supersaturated designs (1997) (197)
- A method for constructing supersaturated designs and its Es2 optimality (1997) (172)
- A Modern Theory Of Factorial Designs (2006) (166)
- Optimizing and Improving the Growth Quality of ZnO Nanowire Arrays Guided by Statistical Design of Experiments. (2009) (153)
- Building Surrogate Models Based on Detailed and Approximate Simulations (2004) (150)
- Building Surrogate Models Based on Detailed and Approximate (2004) (142)
- Characterization of minimum aberration $2\sp {n-k}$ designs in terms of their complementary designs (1996) (115)
- Efficient Calibration for Imperfect Computer Models (2015) (114)
- Exploring HVAC system sizing under uncertainty (2014) (111)
- Some Results on $s^{n-k}$ Fractional Factorial Designs with Minimum Aberration or Optimal Moments (1991) (89)
- Sequential Exploration of Complex Surfaces Using Minimum Energy Designs (2015) (85)
- Optimal Blocking Schemes for 2n and 2n—p Designs (1997) (81)
- On the existence of saturated and nearly saturated asymmetrical orthogonal arrays (1995) (81)
- Choice of Optimal Blocking Schemes in Two-Level and Three-Level Designs (2002) (79)
- Optimal Projective Three-Level Designs for Factor Screening and Interaction Detection (2004) (73)
- Some identities on $q\sp {n-m}$ designs with application to minimum aberration designs (1997) (70)
- Optimal blocking schemes for 2 n and 2 n−p designs (1997) (68)
- On the Choice of Nugget in Kriging Modeling for Deterministic Computer Experiments (2014) (56)
- Active Learning Through Sequential Design, With Applications to Detection of Money Laundering (2009) (52)
- Surrogate Modeling of Computer Experiments With Different Mesh Densities (2014) (51)
- Construction of $2^m4^n$ Designs via a Grouping Scheme (1989) (48)
- A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties (2015) (48)
- Construction of Optimal Multi-Level Supersaturated Designs (2005) (48)
- Statistical Modeling and Analysis for Robust Synthesis of Nanostructures (2008) (43)
- MINIMUM ABERRATION DESIGNS FOR MIXED FACTORIALS IN TERMS OF COMPLEMENTARY SETS (2001) (35)
- Blocking in regular fractional factorials: a projective geometric approach (1999) (35)
- Failure Amplification Method: An Information Maximization Approach to Categorical Response Optimization (2004) (33)
- Operating Window Experiments: A Novel Approach to Quality Improvement (2002) (33)
- Robust Parameter Design With Feedback Control (2006) (28)
- Robust Parameter Design of Multiple-Target Systems (2002) (28)
- Statistical approach to quantifying the elastic deformation of nanomaterials (2009) (27)
- A smooth response surface algorithm for constructing a gene regulatory network. (2002) (27)
- Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models (2012) (25)
- Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion (2017) (22)
- Generalized selective assembly (2012) (19)
- Calibration of Dynamic Building Energy Models with Multiple Responses Using Bayesian Inference and Linear Regression Models (2015) (18)
- Binary Time Series Modeling With Application to Adhesion Frequency Experiments (2008) (18)
- On the existence of nested orthogonal arrays (2008) (17)
- On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models (2020) (17)
- Performance Measures in Dynamic Parameter Design (2002) (14)
- Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling (2017) (13)
- A Generic Approach to Calibrate Building Energy Models Under Uncertainty using Bayesian Inference (2015) (12)
- A Bayesian Approach for Model Selection in Fractionated Split Plot Experiments With Applications in Robust Parameter Design (2013) (11)
- Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study (2018) (11)
- Effects of Warpage on Fatigue Reliability of Solder Bumps: Experimental and Analytical Studies (2008) (10)
- Indicator functions and the algebra of the linear-quadratic parameterization (2014) (8)
- Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process (2020) (7)
- Hidden Markov Models With Applications in Cell Adhesion Experiments (2013) (7)
- Another Look at Dorian Shainin's Variable Search Technique (2011) (7)
- Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification (2020) (6)
- Bayesian-inspired minimum aberration two- and four-level designs (2009) (6)
- Comment: Alternative Strategies for Experimental Design (2013) (6)
- Modeling and Analysis Strategies for Failure Amplification Method (2008) (5)
- Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties (2017) (5)
- CONSTRUCTION OF OPTIMAL MULTI-LEVEL SUPERSATURATED (2003) (5)
- Minimum Energy Designs : From Nanostructure Synthesis to Sequential Optimization (2009) (5)
- Comment: A Brownian Motion Model for Stochastic Simulation With Tunable Precision (2013) (5)
- SIZING HVAC SYSTEMS UNDER UNCERTAINTY (2014) (4)
- Universal Convergence of Kriging (2017) (3)
- Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targets (2015) (3)
- An HMM-based algorithm for evaluating rates of receptor-ligand binding kinetics from thermal fluctuation data (2013) (2)
- Active Learning via Sequential Design with Applications to Detection of Money Laundering (2007) (2)
- A Unified Framework for Uncertainty and Sensitivity Analysis of Computational Models with Many Input Parameters (2014) (1)
- Bayesian Cubic Spline in Computer Experiments (2014) (1)
- Calibration for computer experiments with binary responses (2018) (1)
- Design and Analysis of Multi-fidelity Finite Element Simulations (2023) (1)
- Contributions to variable selection for mean modeling and variance modeling in computer experiments (2012) (1)
- Optimal Simulator Selection (2021) (0)
- Robust design , modeling and optimization of measurement systems (2009) (0)
- Robust Parameter Control With Feedback Control (2006) (0)
- Comments on li and wu (1997) (1998) (0)
- Structure Functions for Regular s l − m Designs with Multiple Groups of Factors (2007) (0)
- Response (2004) (0)
- STRUCTURE FUNCTIONS FOR REGULAR s l m DESIGNS WITH MULTIPLE GROUPS OF FACTORS (2007) (0)
- Robust Synthesis of Nanostructures (2006) (0)
- Supplement to Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models (2012) (0)
- PIG PROCESS: JOINT MODELING OF POINT AND INTEGRAL RESPONSES IN COMPUTER EXPERIMENTS (2019) (0)
- Varying coefficient frailty models with applications in single molecular experiments (2021) (0)
- The Annals of Statistics CONSTRUCTION OF OPTIMAL MULTI-LEVEL SUPERSATURATED DESIGNS By (2005) (0)
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