Mathematical Sciences: Stochastic Processes for Schrodinger Operators and Functional Estimation

首席研究员将致力于 小波变换和神经网络模型的密度和 回归估计 本主题涉及一个基本的 数理统计中的问题。 具有重要 应用于模式识别、预测和专家 系统设计。 调查人员将带到这些问题 数学物理知识。 此外该 研究人员将与本科生合作， 这一话题 特别是，本科生将 通过数据分析来介绍这些主题。

The principal investigator will work on applications of the wavelet transform and neural network models to density and regression estimates. This topic treats one of the fundamental problems in mathematical statistics. It has important applications to pattern recognition, prediction, and expert systems designs. The investigator will bring to these problems knowledge from mathematical physics. In addition, the investigator will work with undergraduate students on aspects of this topic. In particular, the undergraduates will be introduced to these topics via data analysis.