Dr Hailiang Du's Outputs (2)

Multi-model cross-pollination in time (2017)
Journal Article
Du, H., & Smith, L. A. (2017). Multi-model cross-pollination in time. Physica D: Nonlinear Phenomena, 353-354, 31-38. https://doi.org/10.1016/j.physd.2017.06.001

The predictive skill of complex models is rarely uniform in model-state space; in weather forecasting models, for example, the skill of the model can be greater in the regions of most interest to a particular operational agency than it is in “remote”... Read More about Multi-model cross-pollination in time.

Rising Above Chaotic Likelihoods (2017)
Journal Article
Du, H., & Smith, L. A. (2017). Rising Above Chaotic Likelihoods. SIAM/ASA Journal on Uncertainty Quantification, 5(1), 246-258. https://doi.org/10.1137/140988784

Berliner [J. Amer. Statist. Assoc., 86 (1991), pp. 983--952] identified a number of difficulties in using the likelihood function within the Bayesian paradigm which arise both for state estimation and for parameter estimation of chaotic systems. Even... Read More about Rising Above Chaotic Likelihoods.