Getting the Most Out of Online A/B Tests Using the Minimax-Regret Criteria
Accepted and forthcoming in Management Science.
joonhwi-joo
Accepted and forthcoming in Management Science.
Published in Manufacturing & Service Operations Management, 27(6): 1923-1938.
Published in Marketing Science, 44(5): 985-994.
Evaluates AI and AI‑human hybrids in identifying persuasive skills during salesforce recruitment via conversational video interviews, and discusses the AMA AI SIG award received by …
Proposes a drift‑diffusion approach for modeling consumer choice and response time data, demonstrating its usefulness in mobile advertising settings.
Presents methods for estimating SUR models when both the number of equations and regressors are large, using sparsity‑inducing penalties to improve estimation and inference.
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Introduces a ℓ₁,₂ norm regularization technique for graphical model estimation, enabling recovery of sparse precision matrices when the number of variables is large relative to the …
Introduces a dual representation for dynamic discrete choice models and develops computational techniques for efficient estimation and policy evaluation.