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An Accurate Standard Error Estimation for Quadratic Exponential Logistic Regressions by Applying Generalized Estimating Equations to Pseudo-Likelihoods
Ong Wei Yong, Lee Shao-Man, Hsueh Chia-Ming, Chang Sheng-Mao
https://arxiv.org/abs/2510.00431

An Accurate Standard Error Estimation for Quadratic Exponential Logistic Regressions by Applying Generalized Estimating Equations to Pseudo-Likelihoods
For a set of binary response variables, conditional mean models characterize the expected value of a response variable given the others and are popularly applied in longitudinal and network data analyses. The quadratic exponential binary distribution is a natural choice in this context. However, maximum likelihood estimation of this distribution is computationally demanding due to its intractable normalizing constant, while the pseudo-likelihood, though computationally convenient, tends to seve…