Efficient Estimation of Statistical Models with Many Parameters.

统计模型在商业、工程和科学中被广泛用于描述受不确定性影响的系统的行为。这类模型中往往存在许多未知数，而用于估计这些未知数的数据相对较少。这项研究的目的是开发使这些统计模型实用的方法。研究团队将应用这种方法来解决经济、金融、营销和基因表达数据分析方面的问题。该项目还将培养博士后和博士后学生，并提高澳大利亚在统计和数学科学研究方面的卓越声誉。

Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and the analysis of gene expression data. The project will also train doctoral and postdoctoral students and enhance Australia's reputation for research excellence in the Statistical and Mathematical Sciences.