CS035 Lightning Session 6, Part 1 -- SDSS 2026

Addressing Competing Risks in High-Dimensional Survival Analysis: a Bayesian Spike-and-Slab LASSO Approach

9:50 AM - 11:20 AM

Co-authors: Sophia Huebler, Boyi Guo (Johns Hopkins Bloomberg School of Public Health), Sophia Huebler, Xi Qiao (Huntsman Cancer Institute)

High dimensional statistical methods Bayesian variable selection Predictive biomarker discovery

Bias Correction in Short-term Prediction of a Fast-Changing Stochastic Process

9:50 AM - 11:20 AM

Co-authors: Cheng Cheng (St. Jude Children's Research Hospital), Cheng Cheng (St. Jude Children's Research Hospital)

prediction bias correction nonparametric stochastic process time series

Copula-based Bounds for Count Dependence Measures

9:50 AM - 11:20 AM

Co-authors: Hadi Safari Katesari, Hadi Safari Katesari, Samira Zaroudi (John Jay College of Criminal Justice-CUNY)

Kendall’s tau Spearman’s rho Copula Dependence bounds Count data

Designing a reproducible NLP workflow for social media sentiment and topic modeling

9:50 AM - 11:20 AM

Co-authors: Thomas Linden, Thomas Linden

Sentiment-aware lexical profiling Weighted-IDF distinctiveness RoBERTa sentiment classification Polarity-sliced term contrasts Reproducible JSONL NLP pipeline Domain vs co-domain sampling

Developing and Evaluating Advanced ABPM Measures: A Novel Nonlinear, Multiscale Approach for Investigating Risk Assessment and Predictive Utility in Health Outcomes

9:50 AM - 11:20 AM

Co-authors: Roberto Arias (University of Texas - Rio Grande Valley), Roberto Arias (University of Texas - Rio Grande Valley), Kristina Vatcheva (University of Texas Rio Grande Valley), Vesselin Vatchev (University of Texas - Rio Grande Valley)

Ambulatory blood pressure monitoring (ABPM)Maximal Overlap Discrete Wavelet Transform (MODWT)Recurrence Quantification Analysis (RQA)Logistic and Mixed Effect Modelling Cerebral Impairment Diabetes Mellitus

Embracing Variability: Using Learning Sciences to Teach Introductory Statistics to Students with Diverse Math Preparation

9:50 AM - 11:20 AM

Co-authors: Icy(Yunyi) Zhang, Ji Son (Cal State LA), Icy(Yunyi) Zhang, James Stigler (UCLA)

statistics education learning science instructor co-design in-class materials

Estimating MRSA Transmission and Importation Without Active Surveillance: A Mechanistic Machine Learning Approach

9:50 AM - 11:20 AM

Co-authors: Julia Bohman, Julia Bohman

Healthcare Acquired Infections Mechanistic Machine Learning Bayesian Inference Agent-Based Models Simulation-Based Inference Nosocomial Transmission

Forecasting with Echo State Networks for Preliminary Estimation of the Chained CPI-U

9:50 AM - 11:20 AM

Co-authors: Kate Eckerle (Bureau of Labor Statistics), Erin Boon (U.S. Bureau of Labor Statistics), Erin Boon (U.S. Bureau of Labor Statistics)

neural network forecasting reservoir computing economics echo state network government statistics

Hybrid Machine Learning and Domain Driven Corrections for Sales Forecasting in Rural Micro-Retail

9:50 AM - 11:20 AM

Co-authors: farah Ahmed (AXA), farah Ahmed (AXA)

Micro retail small data modeling Hybrid Modeling Feature Engineering Applied Forecasting Machine Learning for time dependent data Event-driven Demand

Improving Comparability in Network Meta-Analysis: Dose, Heterogeneity, and Mixed Treatments in Depression Research

9:50 AM - 11:20 AM

Co-authors: Katherine Herder (University of Arizona), Katherine Herder (University of Arizona)

Network meta-analysis (NMA)Model-based network meta-analysis (MBNMA)Comparative effectiveness research Depression Dose-response modeling Applied methodology

Learning Urban Resilience: Integrating AI, Network Science, and Walkability for Sustainable Mobility Systems

9:50 AM - 11:20 AM

Co-authors: David Han (University of Texas at San Antonio), Francisco Benita (Tecnologico de Monterrey), David Han (University of Texas at San Antonio)

artificial intelligence mobility equity street network analysis urban resilience walkability

Mapping Drivers of Greenness: Spatial Variable Selection for MODIS Vegetation Indices

9:50 AM - 11:20 AM

Co-authors: Qishi Zhan (Marquette University), Qishi Zhan (Marquette University), Cheng-Han Yu (Marquette University), Yuchi Chen (Georgia Institute of Technology), Zhikang Dong (Stony Brook University), Rajarshi Guhaniyogi (Texas A&M University)

Spatially varying coefficients Bayesian variable selection group lasso environmental monitoring vegetation indices

Quantum-Inspired Machine Learning for Neuroimaging Classification: Statistical Perspectives on Data-Efficient Translational Modeling

9:50 AM - 11:20 AM

Co-authors: Jamie Fairclough (Dartmouth College), Jamie Fairclough (Dartmouth College)

Artificial Intelligence (AI)Machine Learning Convolutional Neural Networks Quantum Support Vector Machines Image Classification Clinical Research

Does Access to School Meals Improve Academic Outcomes? Evidence from Community Eligibility Provision Participation in North Carolina

9:50 AM - 11:20 AM

Co-authors: Kayla Haeussler (Duke University), Diego Rodriguez (Duke University), Kayla Haeussler (Duke University), Peter de Guzman, Meron Gedrago (Duke University), Fan Xu (Duke University), Andrea Lane (Duke University)

Nutrition Causal Inference Educational Equity North Carolina Academic Success

CS035 Lightning Session 6, Part 1

About this session

14 Presentations