activity
20092020
most citedNonparametric spectral analysis with applications to seizure characterization using EEG time series

18 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME202013 cited

Fixed-effects model: the most convincing model for meta-analysis with few studies

Enxuan Lin, Tiejun Tong, Yong Chen +1

According to Davey et al. (2011) with a total of 22,453 meta-analyses from the January 2008 Issue of the Cochrane Database of Systematic Reviews, the median number of studies inclu…

stat.ML2019

Low Rank Approximation for Smoothing Spline via Eigensystem Truncation

Danqing Xu, Yuedong Wang

Smoothing splines provide a powerful and flexible means for nonparametric estimation and inference. With a cubic time complexity, fitting smoothing spline models to large data is c…

stat.ME2019

Combining Smoothing Spline with Conditional Gaussian Graphical Model for Density and Graph Estimation

Runfei Luo, Anna Liu, Yuedong Wang

Multivariate density estimation and graphical models play important roles in statistical learning. The estimated density can be used to construct a graphical model that reveals con…

math.ST2019

Smoothing Spline Semiparametric Density Models

Jian Shi, Jiahui Yu, Anna Liu +1

Density estimation plays a fundamental role in many areas of statistics and machine learning. Parametric, nonparametric and semiparametric density estimation methods have been prop…

stat.AP200918 cited

Nonparametric spectral analysis with applications to seizure characterization using EEG time series

Li Qin, Yuedong Wang

Understanding the seizure initiation process and its propagation pattern(s) is a critical task in epilepsy research. Characteristics of the pre-seizure electroencephalograms (EEGs)…