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Logistic Regression with Importance Sampling by ashiqmilon80 is a document available to read on EtoBox.

What is Logistic Regression with Importance Sampling about?

The document outlines a simulation study for logistic regression using synthetic data generated with specified parameters. It includes functions for calculating log-likelihood, log-prior, and log-posterior, as well as methods for finding the posterior mode and performing importance sampling. Results are computed for different sample sizes, reporting the posterior means and effective sample size (ESS) for each case.

Author

ashiqmilon80

Language

EN