Stability of Procurement Networks
Accepted and forthcoming in Manufacturing & Service Operations Management.
Accepted and forthcoming in Manufacturing & Service Operations Management.
Accepted and forthcoming in Marketing Science.
Accepted and forthcoming in Management Science.
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.
Proposes a random projection approach to estimate discrete-choice models with many alternatives, reducing computational complexity while retaining key information about consumer …
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.