Departmental Representation at JSM 2024
See below for all that will be participating in this year’s JSM Conference in Portland, Oregon
Sunday August 4, 2024
- 2:00 PM – 3:50 PM Advances and Applications of Causal Mediation Analytic Techniques (Contributed Papers)
Chenyin Gao-Chair
- 2:00 PM – 3:50 PM Advances in Bayesian Variable Selection (Topic-Contributed Paper Session)
Emmett Kendall – Chair, Brian Reich – Organizer
Jonathan Williams (speaker) Model-free generalized fiducial inference for empirical risk minimizers
- 2:00 PM – 3:50 PM New Advances in Functional Data Analysis (Contributed Papers)
- Wenbin Lu co-author of A Landmark Competing Risk Model for Dynamic Prediction
- Jake Koerner (first/presenting author), Ana-Maria Staicu and William Rand (co-authors) of Are Users Susceptible to Interaction with an Automated Account Different From Those That Do Not?
- 2:00 PM – 3:50 PM New Developments in Machine and Deep Learning (Contributed Papers)
Reetam Majumder – Chair
- 2:00 PM – 3:50 PM Novel Statistical Methods for Mobile and Wearable Device Data (Topic-Contributed Paper Session)
Emily Hector (speaker) New Methods For Analyzing Wearable Device Data
- 2:00 PM – 3:50 PM Statistical methods for handling missing data (Contributed Papers)
Sarah Fairfax (first/presenting author) Shu Yang (co-author) – Distributional Imputation for Control-Based Sensitivity Analyses of Recurrent Events Data
- 4:00 PM – 5:50 PM Addressing Health Disparities and Social Determinants of Health (Contributed Papers)
Xiaodan Zhou (presenting/first author) Brian Reich and Shu Yang (co-authors) Long-term Effect of Redlining Policy on Air Pollution Exposure
- 4:00 PM – 5:50 PM New Statistical Methods for Network Data Analysis (Topic-Contributed Paper Session)
Srijan Sengupta (speaker) Anomalous clique detection and localization in inhomogeneous networks
- 8:30 PM – 9:25 PM Invited E-Poster Session I (Invited Posters)
Emily Hector (speaker) 09 Distributed model building and recursive integration for big spatial data modeling
Monday August 5, 2024
- 8:30 AM – 10:20 AM – Recent Advances in Active Learning and Bayesian Optimization (invited paper session) Annie Booth – Chair
- 8:30 AM – 10:20 AM – SPEED 3: Bayesian Methods & Applications, Part 1 (contributed speed)
Annie Booth – presenting co-author of paper titled: Emulating Functional Output of Dark Matter Power Spectra Using Deep Gaussian Processes
- 8:30 AM – 10:20 AM New Methods for Causal Inference, Hidden Confounding and Survey Sampling (Contributed Papers)
Shu Yang – Chair
- 8:30 AM – 10:20 AM Statistical Issues and Advances in Modern Trial Designs (Contributed Papers)
Peter Norwood (first/presenting author) Marie Davidian and Anastasios Tsiatis (co-authors) Bayesian Adaptive Randomization for the I-SPY 2 SMART
- 10:30 AM – 12:20 PM Advances in Statistical Causal Inference and Applications (Contributed Papers)
Xiaoxia Champon (co-author) Advances in Statistical Causal Inference and Applications
- 10:30 AM – 12:20 PM The Positive Power of Generative AI: Using AI for “Good” In Statistics Classrooms (Invited Paper Session)
Justin Post (speaker) Using Generative AI to Supplement Learning in Statistical Programming Courses
- 2:00 PM – 3:50 PM Amortized Learning for Environmental Data using Neural Networks (Invited Paper Session)
Brian Reich – Chair/Organizer, Reetam Majumder – Organizer
Reetam Majumder (speaker) Vecchia-approximated Density Regression for Intractable Likelihoods Using Graph Neural Networks
- 2:00 PM – 3:50 PM New Methods for Complex Outcomes (Contributed Papers)
Kim Sellers (co-author) Bayesian Generalized Linear Model for Difference of Over or Under Dispersed Counts
Tuesday August 6, 2024
- 8:30 AM – 10:20 AM Effects of Climate Change and Application of Causal Inference in Environmental Science (Contributed Papers)
- Sukanya Bhattacharyya (first/presenting author), Ana-Maria Staicu and Brian Reich (co-authors) Exploring spatiotemporal trends in air pollutants with Quantile Regression
- Dongjae Son (first/presenting author), Erin Schliep and Brian Reich (co-authors) Spatial causal inference in the presence of sampling bias
- 8:30 AM – 10:20 AM SPEED 6: Statistics in Education & Applications, Part 1 (Contributed Speed)
Justin Post and Sunghwan Byun (co-authors) Authentic Data Explorations: Investigating the Normal Distribution through Comparative Rent Data
- 8:30 AM – 10:20 AM Statistics ⊗ Sports: Advancements in Basketball, Baseball, Football, and Soccer (Contributed Papers)
Jason Osborne (first/presenting author) Regression models for estimation of park effects in Major League Baseball
- 10:30 AM – 12:20 PM Contributed Poster Presentations: Section on Medical Devices and Diagnostics (Contributed Posters)
Charles Smith (presenting author) 20 Smartphone usage during walking decreases the positive persistency in gait cycle variability
- 10:30 AM – 12:20 PM Advances in Statistical Methods for Learning Individualized Treatments (Contributed Papers)
Chenyin Gao (first/presenting author), Shu Yang (co-author) Causal Inference on Sequential Treatments via Tensor Completion
- 10:30 AM – 12:20 PM Contributed Poster Presentations: Section on Bayesian Statistical Science (Contributed Posters)
Brandon Feng (presenting author), Eric Yanchenko and Brian Reich (co-authors) 14 The R2D2 selection prior for survival regression
- 10:30 AM – 12:20 PM Contributed Poster Presentations: Section on Statistics in Epidemiology (Contributed Posters)
Nate Wiecha (presenting author), Brian Reich (co-author) 46 Two-stage spatial regression models for spatial confounding
- 10:30 AM – 12:20 PM Contributed Poster Presentations: Section on Statistics in Genomics and Genetics (Contributed Posters)
- Emily Hector (co-author) 49 Bayesian factor analysis for multi-trait fine-mapping of pleiotropic genetic variants
- Wenbin Lu and Jung-Ying Tzeng (co-authors) 53 Estimating association of CNVs using penalized regression with Lasso and weighted fusion penalties
- 10:30 AM – 12:20 PM Recent Advances in Design and Analysis of Screening Experiments with Applications in Healthcare (Invited Paper Session)
Jonathan Stallrich (speaker) An Optimal Design Framework for Lasso Sign Recovery
- 10:30 AM – 12:20 PM Recognizing and Overcoming Obstacles to Causal Inference Arising from Spatial Structures (Invited Paper Session)
Brian Reich (speaker) Spatial Causal Inference with Preferential Sampling
- 2:00 PM – 3:50 PM Climatology Through the Lens of Dynamic Spatio-temporal Processes (Topic-Contributed Paper Session)
Erin Schliep Organizer, speaker – Spatio-temporal model to quantify seasonal changes in streamflow across the northeast United States
- 2:00 PM – 3:50 PM New Methods for Integrative and Adaptive Analysis (Contributed Papers)
Yi Liu (first author) Multi-Source Conformal Inference Under Distribution Shift
- 2:00 PM – 3:50 PM Spatial Statistics: Theory and Applications (Contributed Papers)
Erin Schliep (co-author) Analyzing whale calling through Hawkes process modeling
- 2:00 PM – 3:50 PM – Frontiers in Models Based on Gaussian Process Priors: Asymptotics, Applications, and Scalability (invited paper session)
Annie Booth (speaker) Deep Gaussian Process Surrogates – Big and Small
Wednesday August 7, 2024
- 8:30 AM – 10:20 AM Inference Aided by Computing (Contributed Papers)
Srijan Sengupta (co-author) Efficient Two-Sample Hypothesis Testing for Large Networks : a Nonparametric Approach
- 8:30 AM – 10:20 AM New Approaches to the Analysis of Modern Imaging Modalities (Contributed Papers)
Alvin Sheng (first/presenting author) Ana-Maria Staicu and Brian Reich (co-authors) A Two-Stage Approach for Segmenting Spatial Point Patterns Applied to Tumor Immunology
- 8:30 AM – 10:20 AM Online (Bio)statistical Courses in the Era of Generative AI: Opportunities and Challenges (Invited Panel Session)
Herle McGowan Panelist
- 8:30 AM – 10:20 AM Recent Advances in Natural Language Processing and Computer Vision through A Lens from Statistical Learning (Topic-Contributed Panel Session)
Ruonan Li Panelist
- 8:30 AM – 10:20 AM – Inference Aided by Computing (Contributed Papers)
Donald Martin (first author) Efficient inference for start-up demonstration tests
- 10:30 AM – 12:20 PM – Contributed Poster Presentations: Uncertainty Quantification in Complex Systems Interest Group (Contributed Posters)
Annie Booth (co-author) 62 Deep Gaussian Processes for Uncertainty Quantification in Large-Data Classification Settings
- 10:30 AM – 12:20 PM – Role Play for Training Effective Statistical Leadership, Communication, and Collaboration (invited panel session)
Emily Griffith panelist
- 10:30 AM – 12:20 PM Contributed Poster Presentations: Uncertainty Quantification in Complex Systems Interest Group (Contributed Posters)
- Neil Dey (first/presenting author) Ryan Martin and Jonathan Williams (co-authors) 61 Anytime-Valid Generalized Universal Inference on Risk Minimizers
- Annie Booth (co-author) 62 Deep Gaussian Processes for Uncertainty Quantification in Large-Data Classification Settings
- 10:30 AM – 12:20 PM New Methods for Networks, Graphical Models and Covariances (Contributed Papers)
Srijan Sengupta Chair
- 10:30 AM – 12:20 PM Recent Advances in Bayesian Analysis for Complex Datasets (Topic-Contributed Paper Session)
Subhashis Ghoshal Chair
- 10:30 AM – 12:20 PM Statistics for Environmental Policy and Regulations (Contributed Papers)
- Matthew Shisler (first/presenting author) Erin Schliep and Brian Reich (co-authors) Bayesian Hierarchical Modeling for Spatiotemporal Analysis of Plant Phenology
- Wenlong Gong (first/presenting author) Brian Reich (co-author) Non-stationary spatial model with transfer learning in air pollution data
- 2:00 PM – 3:50 PM Empowering Educators: Supporting Equitable Teaching of Statistics & Data Science Across Grades K-16 (Topic-Contributed Paper Session)
Sunghwan Byun (speaker and co-author) Justin Post (co-author) GTAs’ Problems of Practice for Teaching Introductory Statistic Courses
- 2:00 PM – 3:50 PM New Advances in Personalized Medicine with Innovative Applications (Invited Paper Session)
Wenbin Lu (speaker) Off-policy Evaluation with Irregular, Outcome-dependent Observation Process
Thursday August 8, 2024
- 8:30 AM – 10:20 AM Statistical Computing for Innovative Distributions and Applications (Contributed Papers)
Donald Martin (presenting/first author) Efficient computation of pattern statistics for many different input probabilities
- 8:30 AM – 10:20 AM New Methods for Valid and Flexible Inference (Contributed Papers)
Jonathan Williams Chair
- 8:30 AM – 10:20 AM Recent Advances in Bayesian Modeling (Contributed Papers)
Kimberly Sellers (presenting co-author) The Influence of Prior Distributions in Modeling Conway-Maxwell-Poisson Data
- 8:30 AM – 10:20 AM Recent Advances of How to Incorporate Auxiliary Data: External Controls and Beyond (Invited Paper Session)
Shu Yang (speaker) Mitigating Bias in Treatment Effect Estimation: Strategies for Utilizing External Controls in Randomized Trials
- 10:30 AM – 12:20 PM New Applications of Nonparametric Methods (Contributed Papers)
Xiaoxia Champon (presenting/first author) Leonard Stefanski, Ana-Maria Staicu, and William Rand (co-authors) Clustering X Users based on Changes in Sentiment in Response to Conflict
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