Corpus ID: 222310371

Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation

@article{Zhang2020BatchsequentialDA,
  title={Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation},
  author={B. Zhang and R. Gramacy and L. Johnson and K. Rose and E. Smith},
  journal={arXiv: Applications},
  year={2020}
}
Delta smelt is an endangered fish species in the San Francisco estuary that have shown an overall population decline over the past 30 years. Researchers have developed a stochastic, agent-based simulator to virtualize the system, with the goal of understanding the relative contribution of natural and anthropogenic factors suggested as playing a role in their decline. However, the input configuration space is high-dimensional, running the simulator is time-consuming, and its noisy outputs change… Expand

References

SHOWING 1-10 OF 69 REFERENCES
Individual‐Based Modeling of Delta Smelt Population Dynamics in the Upper San Francisco Estuary III. Effects of Entrainment Mortality and Changes in Prey
  • 9
  • Highly Influential
  • PDF
Individual-Based Modeling of Delta Smelt Population Dynamics in the Upper San Francisco Estuary: I. Model Description and Baseline Results
  • 27
  • Highly Influential
  • PDF
Analysis of pelagic species decline in the upper San Francisco Estuary using multivariate autoregressive modeling (MAR).
  • 112
  • PDF
Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments
  • 78
  • PDF
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
  • 10
  • PDF
Analysis of Limiting Factors Across the Life Cycle of Delta Smelt (Hypomesus transpacificus)
  • 10
  • PDF
...
1
2
3
4
5
...