A new paper critiques the Optimally-Transported Generalized Method of Moments (OTGMM) estimator, proposing counterexamples to key theorems presented by Schennach & Starck (2026a). The authors argue that the assumptions for consistency and asymptotic normality are insufficient and that the OTGMM estimator can yield results that differ from the GMM estimator with modified moments. The paper also provides conditions for consistency and asymptotic normality and suggests a matrix condition to replace an existing assumption. AI
RANK_REASON The item is an academic paper published on arXiv that critiques existing research. [lever_c_demoted from research: ic=1 ai=0.1]
- Assumption 16
- Gaussian mixture model
- OTGMM
- Schennach & Starck
- Theorem 2
- Theorem 3
- Theorem 4
- Theorem 5
- Theorem 6
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