New Advances in Statistics and Data Science

May 24-26, 2022, Honolulu, Hawaii

• Day 1
• Day 2
• Day 3
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Day 2 (May 25, 2022): New Advances in Biostatistics, Health and Causal Inference


8:40am - 10:20am: Session 1 (Chair: Lucas Janson)

• Mladen Kolar: Confidence Sets for Causal Discovery (abstract)


• Jelena Bradic: Dynamic Causal Learning: Excursions in Double Robustness (abstract)


• Rajarshi Mukherjee: A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-fit Covariance and Beyond (abstract)


• David Choi: Causal Inference in Experiments with Interference (abstract)

10:20am - 10:40am: Coffee break

11:20am - 12:10pm: Session 2 (Chair: Mladen Kolar)

• Hongyu Zhao: Transfer Learning: Estimating Cell-type-specific Gene Co-expression Networks from Bulk Gene Expression Data with an Application to Alzheimer's Disease (abstract)


• Genevera Allen: Graph Learning for Large-Scale Functional Neuronal Connectivity (abstract)


• Lucas Janson: Controlled Discovery and Localization of Signals via Bayesian Linear Programming (BLiP) (abstract)

12:10pm - 1:40pm: Lunch break

1:40pm - 3:20pm: Session 3 (Chair: Boxiang Wang)

• Zongming Ma: Matching of Datasets and Its Applications in Single-cell Biology (abstract)


• Eric Laber: Safe Reinforcement Learning in mHealth (abstract)


• Hongzhe Li: Estimation and Inference with Proxy Data and its Genetic Applications (abstract)


• Xiufan Yu: Power-enhanced Simultaneous Test of High-dimensional Mean Vectors and Covariance Matrices with Application to Gene-set Testing (abstract)

3:20pm - 3:40pm: Break

3:40pm - 4:30pm: Session 4 (Chair: Xiufan Yu)

• Gang Li: Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data (abstract)


• Haoyu Zhang: Novel Methods for Multi-ancestry Polygenic Prediction and their Evaluations in 3.7 Million Individuals of Diverse Ancestry (abstract)

4:30pm - 5:20pm: Poster Session