The Statistical Design and Analysis of Experiments for Large-scale Computer Simulators

最近计算能力的提高提高了我们模拟复杂物理现象的能力。随着这些成果的出现，人们有可能研究一些科学问题，而这些问题在历史上只能通过昂贵的物理实验来解决。通过计算模型探索复杂系统的例子在科学中很常见，最近的应用范围从天体物理学到气候变化，再到研究微尺度生物等，事实上，最近的政府间气候变化专门委员会（IPCC）报告包含了几个结论，这些结论是基于使用计算模型对真实的世界的推断。在某些应用中，系统的模拟在计算上是昂贵的，使得模型的输入（实验设计）的选择成为研究的关键任务。在其他情况下，兴趣在于将模拟和现场数据相结合。尽管如此，在其他情况下，模拟器可能很快，但模型运行的数量可能很高。 无论如何，科学家和工业研究人员有许多迫切感兴趣的问题需要解决，以有效地利用他们的计算机模型。拟议的研究将为计算机实验开发新的统计方法。 具体项目包括：（i）对确定性计算机模拟器的输出进行建模;（ii）将现场数据和离散数据的计算机模型输出相结合，以推断物理过程;以及（iii）对模拟器运行的大型集合进行建模。 将提出新的实验设计，具有良好的空间填充性能。 设计是基于一个通用的晶格结构，也将使标准的计算机实验建模方法的调查。 这项工作的预期成果将是在科学和工业中使用的实用方法，以及导致计算机实验方式变化的理论工作。在这个程序中解决的研究在很大程度上是由与科学家和工程师的合作所产生的问题的动机。 拟议工作的所有方面都包括受训人员。

Recent gains in computational power have increased our ability to simulate complex physical phenomena. With these gains comes the potential to investigate scientific questions that historically would have been addressed only through expensive physical experimentation, if at all. Examples of exploration of complex systems via computational models is common in science, with recent applications ranging from astrophysics to climate change to the study micro-scale organisms, etc., the list goes on and on. In fact, the recent Intergovernmental Panel on Climate Change (IPCC) report contains several conclusions that are based on inference to the real world using computational models.In some applications, simulation of the system is computationally expensive making the choice of inputs (the experimental design) to the model a critical task of the study. In other settings, interest lies in combining simulations and field data. Still, in other situations, the simulator may be fast, but the number of model runs can be high. In any case, there are many pressing problems of interest to scientists and industrial researchers that need to be addressed to effectively utilize their computer models.The proposed research will develop new statistical methodology for computer experiments. Specific projects include (i) modeling output from deterministic computer simulators; (ii) combining field data and computer model outputs for discrete data to make inferences about physical processes; and (iii) modeling large ensembles of simulator runs. New experimental designs will be proposed that have good space-filling properties. The designs are based on a general lattice structure that will also enable investigation of standard modeling approaches for computer experiments. The anticipated outcomes of this work will be practical methodology to be used in science and industry, as well as theoretical work that leads to changes in the manner in which computer experiments are conducted. The research addressed in this program is heavily motivated by problems arising from collaboration with scientists and engineers. All aspects of the proposed work include trainees.