Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data

大数据是现代数据和统计分析的重要问题。计算机可以存储大量的数据;然而，准确和快速分析数据的方法并没有跟上现代存储技术的进步。在某些情况下，数据未经分析就被丢弃。大数据统计分析的改进将有利于处理大量数据的任何领域，例如生物科学（例如，基因组学）、金融和信息学、天文学、宇宙学和气候科学。

Big data is an important issue for modern data and statistical analysis. Computers can store huge amounts of data; however, methods to accurately and quickly analyze the data have not kept pace with improvements to modern storage technology. In some cases, data are discarded without being analyzed. Improved statistical analysis of big data will benefit any field dealing with massive amounts of data, such as biological sciences (e.g., genomics), finance and informatics, astronomy, cosmology, and climate science.