Gaussian Process Model

Modeling and simulation (M&S) outputs help the Director, Operational Test and Evaluation (DOT&E) assess the effectiveness, survivability, lethality, and suitability of systems. To use M&S outputs, DOT&E needs models and simulators to be sufficiently verified and validated. The purpose of this paper is to improve the state of verification and validation by recommending and demonstrating a set of statistical techniques—metamodels, also called statistical emulators—to the M&S community. The paper expands on DOT&E’s existing guidance about metamodel usage by creating methodological recommendations the M&S community could apply to its activities....

This document presents arguments and methods for using space-filling designs (SFDs) to plan modeling and simulation (M&S) data collection. Suggested Citation Avery, Kelly, John T Haman, Thomas Johnson, Curtis Miller, Dhruv Patel, and Han Yi. Test Design Challenges in Defense Testing. IDA Product ID 3002855. Alexandria, VA: Institute for Defense Analyses, 2024. Slides: Paper:

Space-Filling Designs are a common choice of experimental design strategy for computer experiments. This paper compares space filling design types based on their theoretical prediction variance properties with respect to the Gaussian Process model. Suggested Citation Silvestrini, Rachel T., Douglas C. Montgomery, and Bradley Jones. “Comparing Computer Experiments for the Gaussian Process Model Using Integrated Prediction Variance.” Quality Engineering 25, no. 2 (April 2013): 164–74. https://doi.org/10.1080/08982112.2012.758284. Paper: