SPEED 1: Data Challenge and Prediction Modelling, Part 1 -- JSM 2025

Forecasting Monthly Net International Migration for U.S. States Using Airline Flight Data

2:05 PM - 2:10 PM

Co-authors: Andrew C. Forrester (U.S. Bureau of Labor Statistics and University of Maryland), Srijeeta Mitra (University of Maryland College Park), Andrew C. Forrester (U.S. Bureau of Labor Statistics and University of Maryland)

Immigration Demographic estimates Airline traffic State space modeling Forecasting

Demystify Flight Data

2:10 PM - 2:15 PM

Co-authors: Melinda Combs (Winston Salem State University), Melinda Combs (Winston Salem State University), Bao Anh Maddux (Winston-Salem State University)

analyzing consumers' travel habits identify trends and patterns in travel behavior classical regression methods and neural network techniques

The Effect of Delays on Airline Flight Patterns

2:15 PM - 2:20 PM

Co-authors: Sarah Coleman, Sherry Zhang (The University of Texas at Austin), Lydia Lucchesi (The University of Texas at Austin), Saptarshi Roy (The University of Texas at Austin)

sports exploratory analysis

Flight Issues and Regional Partisan Dynamics: A Longitudinal Analysis

2:20 PM - 2:25 PM

Co-authors: Jackie Carlton-Wargo (Washington State University), Weiwei Xie, Jackie Carlton-Wargo (Washington State University), Ching-Ni Tseng, Wooyoung Kim (Washington State University)

Longitudinal Analysis Causal Effects Spatiotemporal Autoregressive Model Partisan Shifts Flight Issues Transportation-Politics

Detecting Anomalies in WTI Crude Oil Returns Using Statistical and Machine Learning Methods

2:25 PM - 2:30 PM

Co-authors: Gadir Alomair (King Faisal University), Gadir Alomair (King Faisal University)

Anomaly Detection WTI Crude Oil Returns Machine Learning Financial Risk Management Volatility Clustering Isolation Forest

Deviance-based approach to detect cancer fragments in plasma using methylated sequencing targets

2:30 PM - 2:35 PM

Co-authors: Jason Sinnwell (Mayo Clinic), Jason Sinnwell (Mayo Clinic), Seth Slettedahl, Douglas Mahoney (Mayo Clinic), Jeanette Eckel-Passow (Mayo Clinic), John Kisiel (Mayo Clinic), William Taylor (Mayo Clinic)

methylation deviance generalized additive models prediction

Enhancing Fraud Detection: A Comprehensive Analysis of Financial Transactions

2:35 PM - 2:40 PM

Co-authors: Juliana Patrone, Juliana Patrone, Wanchunzi Yu (Bridgewater State University)

Fraud Detection Data Visualization Financial Transactions Statistical Models Machine Learning Techniques

WITHDRAWN Entrepreneur opportunity as dividend income: the risk's positive perusal by the Erlang(n) model.

2:40 PM - 2:45 PM

Co-authors: Mfondoum Valery

Entrepreneurs Opportunities Dividends Strategy Controlled Surplus Process Entrepreneurships Interests Focus (E.I.F.)Entrepreneurships Acting Level (E.A.L.)Entrepreneurships Dynamic Trend (E.D.T.)

WITHDRAWN: Evaluating radiomics based predictors of survival under anti-PD1 therapy

2:45 PM - 2:50 PM

Co-authors: Michelle Ngo (Merck & Co., Inc.), Richard Baumgartner (Merck Research Laboratories), Shubing Wang (Merck & Co., Inc.), Lingkang Huang, Yiqiao Liu (Merck & Co., Inc.), Gregory Goldmacher (Merck & Co., Inc.), Antong Chen (Merck & Co., Inc.), Jianda Yuan (Merck & Co., Inc.), Jared Lunceford (Merck & Co., Inc.)

radiomics delta radiomics biomarkers oncology survival

Hybrid Neural Network Model for Predicting LVO in Ischemic Stroke Patients

2:55 PM - 3:00 PM

Co-authors: Lan Gao (University of Tennessee at Chattanooga), Megan McCoy (Ms), Samuel Glandon (Mr.), Megan McCoy (Ms)

Machine Learning Deep Learning Hybrid Neural Network LVO Stroke predictive model

Predicting MSL Players Market Value using Machine Learning Algorithms

3:00 PM - 3:05 PM

Co-authors: Pablo Cañamero, Pablo Cañamero, Abdelmonaem Jornaz (Park University)

soccer players' market values MLS (Major League Soccer)machine learning

WITHDRAWN Prediction of 30-day Readmission for ICU Patients with Heart Failure

3:05 PM - 3:10 PM

Co-authors: Feiyi Sun

Heart Failure ICU Readmission Electronic Health Record Machine Learning Variable Importance

Predictive Modeling of Racial Disparities in U.S. Violent Deaths

3:10 PM - 3:15 PM

Co-authors: Ying-Ju Chen (University of Dayton), Ying-Ju Chen (University of Dayton), Tatjana Miljkovic (Miami University)

MORTALITY RACE LOGISTIC REGRESSION MACHINE LEARNING VIOLENT DEATHS UNITED STATES

Smooth Tensor Decomposition for Ambulatory Blood Pressure Monitoring Data

3:15 PM - 3:20 PM

Co-authors: Leyuan Qian (University of Michigan), Leyuan Qian (University of Michigan), Irina Gaynanova (University of Michigan)

Low-rank tensor factorization Smoothing penalty Missing data imputation

Statistical Properties of a Subjective Value Exchange Model

3:20 PM - 3:25 PM

Co-authors: Guillermo Frank, Guillermo Frank, Matías González (Departamento de Física - FCEN - UBA)

exchange value valuation econophysics entropy temperature

Stock Market Strategies Implied by a Stochastic Particle System Model Adopted as Econophysics

3:25 PM - 3:30 PM

Co-authors: John Angle (The Inequality Process Institute LLC), John Angle (The Inequality Process Institute LLC)

competition invariances particle system quantitative finance stock market trading strategies

Target then treat: analyzing sales impacts of two-level assignment

3:30 PM - 3:35 PM

Co-authors: Natalia Ordaz Reynoso (Google), Frank Yoon (Google), Natalia Ordaz Reynoso (Google)

Causal inference Two-stage treatment Regression discontinuity Instrumental variables Customer sales Impact analysis

To Kick or Receive: A Deep Dive into the National Football League New Playoff Overtime Rules

3:35 PM - 3:40 PM

Co-authors: Philip Stevenson (Fred Hutchinson Cancer Research Center), Philip Stevenson (Fred Hutchinson Cancer Research Center), Daniel Hippe (Fred Hutchinson Cancer Center)

Sports National Football League Markov Chain Models

Transformer Models for Enhanced Time Series Forecasting

3:40 PM - 3:45 PM

Co-authors: Thu Nguyen (University of Maryland-Baltimore County), Thu Nguyen (University of Maryland-Baltimore County)

Time Series Forecasting Transformer Models Deep Learning Attention Mechanism Temporal Dynamics Univariate and Multivariate Forecasting

SPEED 1: Data Challenge and Prediction Modelling, Part 1

About this session

19 Presentations