Objective Uncertainty Quantification
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-70766-2_22
Reference31 articles.
1. Bae, H.-R., Grandhi, R. V., & Canfield, R. A. (2004). An approximation approach for uncertainty quantification using evidence theory. Reliability Engineering & System Safety, 86(3), 215–225.
2. Barbieri, M. M., & Berger, J. O. (2004). Optimal predictive model selection. The Annals of Statistics, 32(3), 870–897.
3. Batchelor, E., Loewer, A., & Lahav, G. (2009). The ups and downs of p53: Understanding protein dynamics in single cells. Nature Reviews Cancer, 9(5), 371–377.
4. Bernardo, J. M., & Smith, A. F. (2001). Bayesian theory. Measurement Science and Technology, 12(2), 221.
5. Boluki, S., Esfahani, M. S., Qian, X., & Dougherty, E. R. (2017). Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinformatics, 18(Suppl 14), 552.
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