1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Tolerance Intervals Using Dirichlet Processes
Seokjun Choi, Tony Pourmohamad, Bruno Sansó
In nonclinical pharmaceutical development, tolerance intervals are critical in ensuring product and process quality. They are statistical intervals designed to contain a specified…
stat.CO2023★ 1 cited
Understanding an Acquisition Function Family for Bayesian Optimization
Jiajie Kong, Tony Pourmohamad, Herbert K. H. Lee
Bayesian optimization (BO) developed as an approach for the efficient optimization of expensive black-box functions without gradient information. A typical BO paper introduces a ne…
stat.CO2020
CompModels: A suite of computer model test functions for Bayesian optimization
Tony Pourmohamad
The CompModels package for R provides a suite of computer model test functions that can be used for computer model prediction/emulation, uncertainty quantification, and calibration…