Predicting Vehicle Crashworthiness: Validation of Computer Models for Functional and Hierarchical Data
By Maria J. Bayarri, James O. Berger, Marc C. Kennedy, Athanasios Kottas, Rui Paulo, J. Sacks, John A. Cafeo, Chin-Hsu Lin, Jian Tu. 2009
49 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Mauricio A Álvarez
- Neil D. Lawrence
- Lorenzo Rosasco
- Matt Taddy
- Stefan M. Wild
- Robert B. Gramacy
- Jianfei Cai
- Yew-Soon Ong
In Computational Theory and Mathematics
- Mauricio A Álvarez
- Neil D. Lawrence
- Lorenzo Rosasco
- Robert B. Gramacy
- Matt Taddy
- Stefan M. Wild
- Michael A. Osborne
- G. Em Karniadakis
In Statistics and Probability
- Matt Taddy
- Mauricio A Álvarez
- Neil D. Lawrence
- Lorenzo Rosasco
- Robert B. Gramacy
- Stefan M. Wild
- Alan E. Gelfand
- Thang D. Bui
Citations in the corpus
- Kernels for Vector-Valued Functions: a Review (2011, methodology): “es have become the preferredstatistical modelamong computer emulation practitioners (fora reviewsee [70]). DifferentGaussian process emulators have been recently proposed to deal with several outputs [42, 23, 83, 63, 9, 79]. In [42], the linear model of coregionalization is used to model images repr”
- Learning about physical parameters: the importance of model discrepancy (2014, unknown): “(2004, 2008); Qian and Wu (2008); Goldstein and Rougier (2009); Bayarri et al. (2007); Gramacy and Lee (2008).”
- Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning (2011, methodology): “As a result, it is more common to rely on GP priors or other nonparametric regression techniques [e.g., Bayarri et al. (2009), Lee et al. (2008)].”