2 citations · 2 across the 1 of their papers we have counts for
3 papers
Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
Huang Huang, Dorit Hammerling, Bo Li +1
Projections of future climate change rely heavily on climate models, and combining climate models through a multi-model ensemble is both more accurate than a single climate model a…
Pushing the Limit: A Hybrid Parallel Implementation of the Multi-resolution Approximation for Massive Data
Huang Huang, Lewis R. Blake, Dorit M. Hammerling
The multi-resolution approximation (MRA) of Gaussian processes was recently proposed to conduct likelihood-based inference for massive spatial data sets. An advantage of the method…
Modeling and emulation of nonstationary Gaussian fields
Douglas Nychka, Dorit Hammerling, Mitchell Krock +1
Geophysical and other natural processes often exhibit non-stationary covariances and this feature is important to take into account for statistical models that attempt to emulate t…