Algebraic methods for Markov Chain Monte Carlo and quasi-Monte Carlo

在日益复杂的世界中，统计、金融、经济、物理等领域对解决现实世界问题的计算方法的要求也在不断提高。该项目的结果将显著改进现有的计算方法，从而帮助解决现有的计算挑战，并进一步加强澳大利亚作为领先科学地点的声誉。这项研究将与国际专家合作，建立和加强澳大利亚研究机构与海外其他世界级研究机构的现有联系。

In an increasingly complex world, the requirements on computational methods for solving real world problems from areas like statistics, finance, economics, physics and others are also constantly increasing. The results from this project will significantly improve existing computational methods, thereby helping to solve existing computational challenges and further strengthening Australia's reputation as a leading scientific location. The research carried out will be in collaboration with international experts, creating and strengthening existing ties of Australian research institutions with other world class research institutes overseas.