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01/04/2023
Locally Private Causal Inference
Local differential privacy (LDP) is a differential privacy (DP) paradigm...
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10/31/2022
Degree of Interference: A General Framework For Causal Inference Under Interference
One core assumption that is consistently adopted for valid causal infere...
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10/19/2021
Bayesian Approach to Two-Stage Randomized Experiments in the Presence of Interference and Noncompliance
No interference between experimental units is a critical assumption in c...
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03/25/2020
Bayesian Hierarchical Bernoulli-Weibull Mixture Model for Extremely Rare Events
Estimating the duration of user behavior is a central concern for most i...
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03/25/2020
Applying Bayesian Hierarchical Probit Model to Interview Grade Evaluation
Job interviews are a fundamental activity for most corporations to acqui...
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02/25/2020