Bayesian Posterior Estimation of Logit Parameters with Small Samples

@article{GalindoGarr2004BayesianPE,
  title={Bayesian Posterior Estimation of Logit Parameters with Small Samples},
  author={F. Galindo-Garr{\'e} and J. Vermunt and Wicher Bergsma},
  journal={Sociological Methods \& Research},
  year={2004},
  volume={33},
  pages={117 - 88}
}
When the sample size is small compared to the number of cells in a contingency table, maximum likelihood estimates of logit parameters and their associated standard errors may not exist or may be biased. This problem is usually solved by “smoothing” the estimates, assuming a certain prior distribution for the parameters. This article investigates the performance of point and interval estimates obtained by assuming various prior distributions. The authors focus on two logit parameters of a 2 × 2… Expand

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