activity
20172022
most citedLearned practical guidelines for evaluating Conditional Entropy and Mutual Information in discovering major factors of response-vs-covariate dynamics

7 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2022

Unraveling implicit human behavioral effects on dynamic characteristics of Covid-19 daily infection rates in Taiwan

Ting-Li Chen, Elizabeth P. Chou, Min-Yi Chen +1

We study Covid-19 spreading dynamics underlying 84 curves of daily Covid-19 infection rates pertaining to 84 districts belonging to the largest seven cities in Taiwan during her pr…

stat.ME20227 cited

Learned practical guidelines for evaluating Conditional Entropy and Mutual Information in discovering major factors of response-vs-covariate dynamics

Ting-Li Chen, Hsieh Fushing, Elizabeth P. Chou

We reformulate and reframe a series of increasingly complex parametric statistical topics into a framework of response-vs-covariate (Re-Co) dynamics that is described without any e…

stat.ME20221 cited

Multiscale major factor selections for complex system data with structural dependency and heterogeneity

Hsieh Fushing, Elizabeth Chou, Ting-Li Chen

Based on structured data derived from large complex systems, we computationally further develop and refine a major factor selection protocol by accommodating structural dependency…

stat.AP20203 cited

Extreme-K categorical samples problem

Elizabeth Chou, Catie McVey, Yin-Chen Hsieh +2

With histograms as its foundation, we develop Categorical Exploratory Data Analysis (CEDA) under the extreme- sample problem, and illustrate its universal applicability through…

stat.AP20173 cited

Dimension Reduction of High-Dimensional Datasets Based on Stepwise SVM

Elizabeth P. Chou, Tzu-Wei Ko

The current study proposes a dimension reduction method, stepwise support vector machine (SVM), to reduce the dimensions of large p small n datasets. The proposed method is compare…