activity
20172022
most citedReplication or exploration? Sequential design for stochastic simulation experiments

106 citations · 111 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation

Xinyu Zhang, Jiangeng Huang, Yuanhao Huang +7

Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing am…

stat.ME2021

Multi-output calibration of a honeycomb seal via on-site surrogates

Jiangeng Huang, Robert B. Gramacy

We consider large-scale industrial computer model calibration, combining multi-output simulation with limited physical observation, involved in the development of a honeycomb seal.…

stat.ME2020★ 5 cited

Analyzing Stochastic Computer Models: A Review with Opportunities

Evan Baker, Pierre Barbillon, Arindam Fadikar +10

In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…

stat.ME2018

On-site surrogates for large-scale calibration

Jiangeng Huang, Robert B. Gramacy, Mickael Binois +1

Motivated by a computer model calibration problem from the oil and gas industry, involving the design of a honeycomb seal, we develop a new Bayesian methodology to cope with limita…

stat.ME2017★ 106 cited

Replication or exploration? Sequential design for stochastic simulation experiments

Mickael Binois, Jiangeng Huang, Robert B Gramacy +1

We investigate the merits of replication, and provide methods for optimal design (including replicates), with the goal of obtaining globally accurate emulation of noisy computer si…