arXiv (All)
open access
The Geometry of Existence and Uniqueness of Maximum Likelihood Estimation in Categorical Response Models
Nonexistence of the maximum likelihood estimate (MLE) under separation is treated as a solved problem for binary logistic regression and as a scattered collection of model-specific results everywhere else. We show that it is one phenomenon with one criterion. In a latent polyhedral categorical respo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Two Stage Quasi-Likelihood Estimation Method for High Dimensional Generalized Structural Equation Models#617690
- A Two Stage Quasi-Likelihood Estimation Method for High Dimensional Generalized Structural Equation Models#617190
- Simplex Relaxation for Discrete Diffusion#1142764
- Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters#1354152
- Testing and segmentation of joint and individual components in integrative multi-source factor models#1156585
Record · ID 1217835
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive