Strictly log-concave probability distributions in discrete response models

DOI10.1016/j.spl.2022.109683OpenAlexW4298009659MaRDI QIDQ2105354

Eleni Aristodemou

Publication date: 8 December 2022

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2022.109683

zbMATH Keywords

discrete response modelsstrict log-concavity

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Point estimation (62F10) Characterization and structure theory of statistical distributions (62E10)

Cites Work

• On the convergence properties of the EM algorithm
• On the existence and uniqueness of the maximum likelihood estimate of a vector-valued parameter in fixed-size samples
• Multivariate value at risk and related topics
• Log-concave probability and its applications
• On the existence of maximum likelihood estimates in logistic regression models
• Modeling Ordered Choices
• Concavity of the Log Likelihood
• Existence and Uniqueness of the Maximum Likelihood Estimator for a Multivariate Probit Model
• On the existence and uniqueness of the maximum likelihood estimates for certain generalized linear models
• Optimization
• On the use of enumeration for investigating the performance of hypothesis tests for economic models with a discrete response variable
• On the uniqueness of the maximum likelihood estimator.
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