Publications

Google scholar

• Huang, H., Hammerling, D., Li, B., and Smith R. (2019), Combine multiple interdependent climate models: a Bayesian approach, in preparation.

• Huang, H., Blake, L., and Hammerling, D. (2019), Pushing the limit: a hybrid parallel implementation of the multi-resolution approximation for massive data, submitted.

• Huang, H. and Sun, Y. (2019), A Decomposition of Total Variation Depth for Understanding Functional Outliers, Technometrics, in press. [arXiv]

• Huang, H. and Sun, Y. (2018), Hierarchical low rank approximation of likelihoods for large spatial datasets, Journal of Computational and Graphical Statistics, 27:1, 110-118. [arXiv][KAUST Discovery Highlight]

• Huang H. and Sun Y. (2017), Visualization and assessment of spatio-temporal covariance properties, Spatial Statistics, in press. [arXiv][KAUST Discovery Highlight]

• Toye, H., Zhan, P., Gapalakrishnan, G., Kartadikaria, R. A., Huang, H., Knio, O., and Hoteit, I. (2017), Ensemble data assimilation in the Red Sea: sensitivity to ensemble selection and atmospheric forcing, Ocean Dynamics, 67:915-933.