1 citations · 1 across the 6 of their papers we have counts for
6 papers
Asymmetric Huber Periodogram
Tianbo Chen, Xiaojun Song
This paper introduces a novel spectral M-estimator, called the asymmetric Huber periodogram (AHP), as a generalization of the ordinary periodogram (PG), the quantile periodogram (Q…
Robust Functional Ward's Linkages with Applications in EEG data Clustering
Tianbo Chen, Tianbo Chen. Wenlin Dai, Hanbing Zhu
This paper proposes two robust linkage criteria, termed functional Ward-type linkages, for hierarchical clustering of grouped functional data, where each clustering unit is represe…
Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data
Tianbo Chen, Ying Sun, Mehdi Maadooliat
In this paper, we develop a method for estimating and clustering two-dimensional spectral density functions (2D-SDFs) for spatial data from multiple subregions. We use a common set…
Clustering Brain Signals: A Robust Approach Using Functional Data Ranking
Tianbo Chen, Ying Sun, Carolina Euan +1
In this paper, we analyze electroencephalograms (EEG) which are recordings of brain electrical activity. We develop new clustering methods for identifying synchronized brain region…
A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network
Tianbo Chen, Ying Sun, Ta-Hsin Li
In this paper, a new estimation method is introduced for the quantile spectrum, which uses a parametric form of the autoregressive (AR) spectrum coupled with nonparametric smoothin…
Nonparametric collective spectral density estimation with an application to clustering the brain signals
Mehdi Maadooliat, Ying Sun, Tianbo Chen
In this paper, we develop a method for the simultaneous estimation of spectral density functions (SDFs) for a collection of stationary time series that share some common features.…