|
Session Number
|
Name
|
Email
|
Title
|
Participation
|
|
1
|
Yi Liu
|
yliu297@ncsu.edu
|
Targeted Data Fusion for Causal Survival Analysis Under
Distribution Shift
|
In-person
|
|
1
|
Shi Bo
|
shibo@bu.edu
|
A Debiased Estimator for the Mediation Functional in
Ultra-High-Dimensional Setting in the Presence of Interaction
Effects
|
In-person
|
|
1
|
Dane Isenberg
|
Dane.Isenberg@pennmedicine.upenn.edu
|
A Bayesian approach to the survivor average causal effect in
cluster-randomized crossover trials
|
In-person
|
|
1
|
Chaeyeon Yoo
|
chaeyeon.yoo@uconn.edu
|
Mixture cure models with flexible survival and link functions:
Parameter estimation via the EM algorithm
|
In-person
|
|
1
|
Zexiang Li
|
zexiang.li@yale.edu
|
Improving Transportability of Regression Calibration Under the
Main/External Validation Study Design
|
In-person
|
|
1
|
Antonio D'Alessandro
|
Antonio.D'alessandro@nyulangone.org
|
Modern causal inference approaches to improve power for
subgroup analysis in randomized controlled trials
|
In-person
|
|
2
|
Daniel Suen
|
dsuen@uw.edu
|
MODELING MISSING AT RANDOM NEUROPSYCHOLOGICAL TEST SCORES
USING A MIXTURE OF BINOMIAL PRODUCT EXPERTS
|
In-person
|
|
2
|
Sana Gupta
|
sana.gupta@uconn.edu
|
Adapting Multiple Imputation for Compositional Survey Data
|
In-person
|
|
2
|
David Moore
|
David.B.Moore@unh.edu
|
Novel Techniques for Designing Experiments and for Analyzing
Data
|
In-person
|
|
2
|
Xinran Miao
|
xinran.miao@wisc.edu
|
Transfer Learning Between U.S. Presidential Elections: How
Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad
Campaigns?
|
In-person
|
|
2
|
Heeju Lim
|
heeju.lim@uconn.edu
|
HECKMAN SELECTION- CONTAMINATED NORMAL MODEL
|
In-person
|
|
2
|
Min Lin
|
min.2.lin@uconn.edu
|
BIG-SSD: Baseline Design-Initiated and Prior-Guided Sample
Size Determination with Historical Data
|
In-person
|
|
3
|
Shubhangi Ghosh
|
shubhangi.ghosh@columbia.edu
|
Signal-to-noise ratio aware minimax analysis of sparse linear
regression
|
In-person
|
|
3
|
Zhenyu Wang
|
zw425@stat.rutgers.edu
|
Causal Invariance Learning via Efficient Optimization of a
Nonconvex Objective
|
In-person
|
|
3
|
Wenbo Jing
|
wj2093@stern.nyu.edu
|
Data-Driven Knowledge Transfer in Batch Q^* Learning
|
In-person
|
|
3
|
Parker Knight
|
pknight@g.harvard.edu
|
Fast and robust invariant generalized linear models
|
In-person
|
|
3
|
Chengpiao Huang
|
ch3702@columbia.edu
|
Uncertainty Quantification for LLM-Based Survey Simulations
|
In-person
|
|
3
|
Onrina Chandra
|
oc152@scarletmail.rutgers.edu
|
Performance Guaranteed Confidence Sets of Ranks
|
In-person
|
|
4
|
Xin Feng
|
shibo@bu.edu
|
Bridging AI and Bayesian Nonparametric to Infer Layered
Cellular Structures from Oral Tissue Pathology Images
|
In-person
|
|
4
|
Annabelle Carrell
|
University of Cambridge, Havard
|
Low-rank thinning
|
In-person
|
|
4
|
Yixi Xu
|
xuyix@iu.edu
|
Parsimonious Clustering of Covariance Matrices
|
In-person
|
|
4
|
Alokesh_Manna
|
alokesh.manna@uconn.edu
|
Bayesian Models for Joint Selection of Features and
Auto-Regressive Lags: Theory and Applications in Environmental
and Financial Forecasting
|
In-person
|
|
4
|
Daniel Cunha
|
dcunha@bu.edu
|
Bernstein Polynomial Processes for Continuous Time Change
Detection
|
In-person
|
|
4
|
Xin Yang
|
xin.2.yang@uconn.edu
|
Integrative Learning of Quantum Dot Intensity Fluctuations
under Excitation via Tailored Dynamic Mixture Modeling
|
In-person
|
|
5
|
Hassan Ajulo
|
hassan.ajulo@my.jcu.edu.au
|
Spatiotemporal modelling and composite indices for pandemic
preparedness: A novel geospatial-temporal approach
|
In-person
|
|
5
|
Yuxuan Wang
|
yxw@bu.edu
|
RePlei: Replication of pleiotropic loci with GWAS summary
statistics
|
In-person
|
|
5
|
Xinyu Zhang
|
xinyu.zhang@vanderbilt.edu
|
Semiparametric Confidence Sets for Arbitrary Effect Sizes in
Longitudinal Neuroimaging
|
In-person
|
|
5
|
Adlin Pinheiro
|
adlinp@bu.edu
|
Predicting cognitive impairment using novel functional
features of spatial proximity and circularity in the digital
clock drawing test
|
In-person
|
|
5
|
Yunzhe Qian
|
yqian@hsph.harvard.edu
|
Advanced Quadratic Discriminant Analysis Algorithms for
Correlated Audiometric Data
|
In-person
|
|
5
|
Zhiyu Yan
|
romanyan@g.harvard.edu
|
Communication-Efficient Topic Modeling for Identifying
Ischemic Stroke Subtypes from Multi-Institutional Unstructured
Clinical Notes
|
In-person
|