Semiparametric Regression for Streaming Data

半参数回归将大而复杂的数据集转换为可解释的总结，从中可以做出合理的决策。该项目解决了流数据的半参数回归分析--其中数据太大，以至于它们可能无法存储在标准计算机内存中，因此需要在到达时快速处理，然后丢弃。有效的解决方案需要重新考虑半参数回归，并将开发新的方法。该项目还将为机器人应用开发新的理论和方法。它将允许分析流和海量数据集，这是目前可用的方法无法实现的，从而打开了新的应用。

Semiparametric regression converts large and complex data-sets into interpretable summaries from which sound decisions can be made. This project tackles semiparametric regression analysis of streaming data - where the data are so voluminous that they may not be storable in standard computer memory and therefore need to be processed rapidly on arrival and then discarded. Effective solutions necessitate a rethinking of semi-parametric regression and new approaches will be developed. The project will also develop novel theory and methodology for robotics applications. It will allow analysis of streaming and massive data sets that would not be possible using currently available methods, opening up new applications.