Lingsong Zhang's research is to develop statistical methods for real applications, along with the theoretical properties. In Statistics, Lingsong's research focuses on analysis of high dimensional data and scale-space inference.
Functional-Data/Object-Oriented-Data Analysis
- Functional Singular Value Decomposition and Visualization
This is the website for the paper Singular Value Decomposition and its Visualization, which has been published in Journal of Computational and Graphical Statistics. The visualization part won 2005 student paper award of ASA sections of statistical computing and statistical graphics. You can also download the preprint of this paper.
- Robust Regularized Singular Value Decomposition Method
This is the website for the paper Robust Regularized Singular Value Decomposition Method, which has been accepted for publication.
- Nested Cone Analysis Methods
This is the website for the research on nested cone analysis methods.
Scale Space Inference
- Multiresolution Anomaly Detection for Long Range Dependent Time Series
This is the website for the paper Multiresolution Anomaly Detection for Long Range Dependent Time Series and Multiresolution Anomaly Detection for the Internet, which is under preparation.
- Spatial Multiresolution Cluster Detection Method
This is the website for the paper Spatial Multiresolution Cluster Detection Method.
High Dimension Inference
This is the website for several papers written or collaborated with me. This one is also under preparation.
- weblink
- link for a summary website for dwd-related methods
