Back to the program

Contributed Papers

Dimension Reduction and Functional Data Analysis

Wed, Aug 5, 8:30 AM - 10:20 AM Room CC-255 Thomas M. Menino Convention & Exhibition Center

Ye LiChair

Section on Statistical Learning and Data Science

7 Presentations

Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions

8:35 AM - 8:50 AM

Xiaoke Zhang (George Washington University)

Co-authors: Gefei Lin (George Washington University), Rui Miao (University of Texas at Dallas), Jennifer Sacheck (Brown University)

distributional policy fitted-Q evaluation fitted-Q optimization daily step counts penalized splines

A Natural Projection for Functional Average Variance Estimation

8:50 AM - 9:05 AM

Harris Quach (Temple University)

Co-authors: Wensheng Guo (University of Pennsylvania Perelman School of Medicine), Wei Yang (University of Pennsylvania)

Sufficient Dimension Reduction Functional Data Supervised Learning

Dimension Reduction for Relational Data with Covariates

9:05 AM - 9:20 AM

Guang Yang (The Chinese University of Hong Kong)

Co-authors: Junhui Wang (The Chinese University of Hong Kong)

Bipartite data Dimension reduction Score function Stein's method Representation learning

Addressing class imbalance in functional data clustering

9:20 AM - 9:35 AM

Catherine Higgins (University College Dublin)

Co-authors: Jingyi Jessica Li (UCLA), Michelle Carey

Functional data analysis Clustering Class imbalance Gene expression Spatial transcriptomics

TIDE: Interpretable Tree-Based Estimation for Stabilizing Deep Learning Predictions

9:35 AM - 9:50 AM

deep learning model Interpretability variance reduction

Boosted Sliced Regression for Dimension Reduction in Binary Classification

9:50 AM - 10:05 AM

Edmund Owusu Osei (The University of Alabama)

Co-authors: Qin Wang (University of Alabama)

Sufficient dimension reduction Sliced regression Gradient boosting machines High-dimensional data Ensemble learning Central subspace

Reducing Subspace Dynamic Connectivity Estimation in MGARCH Models for Brain Health Classification

10:05 AM - 10:20 AM

Toktam Valizadeh

Co-authors: S. Yaser Samadi (Southern Illinois University-Carbondale)

Time series, Dimension reduction, Core subspace, MGARCH, fMRI

↑