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David Ruppert
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2020 – today
- 2023
- [j12]Xinmin Li
, Feifei Chen, Hua Liang, David Ruppert:
Model Checking for Logistic Models When the Number of Parameters Tends to Infinity. J. Comput. Graph. Stat. 32(1): 241-251 (2023) - 2021
- [j11]Yang Liu, David Ruppert
Density estimation on a network. Comput. Stat. Data Anal. 156: 107128 (2021) - [j10]Tao Zhang
Optimal Sampling for Generalized Linear Models Under Measurement Constraints. J. Comput. Graph. Stat. 30(1): 106-114 (2021) - [j9]Haiying Wang, Dixin Zhang, Hua Liang, David Ruppert:
Iterative Likelihood: A Unified Inference Tool. J. Comput. Graph. Stat. 30(4): 920-933 (2021) - [j8]Mohammad W. Hattab, David Ruppert:
A mixed model approach to measurement error in semiparametric regression. Stat. Comput. 31(3): 31 (2021) - [j7]Ran Yang, David Kent, Daniel W. Apley, Jeremy Staum, David Ruppert:
Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems. ACM Trans. Model. Comput. Simul. 31(4): 22:1-22:36 (2021)
2010 – 2019
- 2016
- [j6]Benjamin B. Risk
Spatiotemporal mixed modeling of multi-subject task fMRI via method of moments. NeuroImage 142: 280-292 (2016) - [j5]Luo Xiao
Fast covariance estimation for high-dimensional functional data. Stat. Comput. 26(1-2): 409-421 (2016) - 2015
- [j4]Mathew W. McLean
Restricted likelihood ratio tests for linearity in scalar-on-function regression. Stat. Comput. 25(5): 997-1008 (2015) - 2011
- [j3]David S. Matteson
Time-Series Models of Dynamic Volatility and Correlation. IEEE Signal Process. Mag. 28(5): 72-82 (2011)
1990 – 1999
- 1999
- [j2]Victoria C. P. Chen, David Ruppert, Christine A. Shoemaker
Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming. Oper. Res. 47(1): 38-53 (1999) - 1994
- [j1]Deborah Hix, H. Rex Hartson, Antonio C. Siochi, David Ruppert:
Customer responsibility for ensuring usability: Requirements on the user interface development process. J. Syst. Softw. 25(3): 241-255 (1994)
Coauthor Index
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