## Logit stick-breaking priors for partially exchangeable count data

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In this short tutorial we will implement two different methods for finding the maximum likelihood estimate (MLE) of a logistic regression model (McCullagh and Nelder, 1989), using Python. The MLE will be obtained using the algorithms:

** Published:**

In this short tutorial we will implement two different methods for finding the maximum likelihood estimate (MLE) of a logistic regression model (McCullagh and Nelder, 1989), using Python. The MLE will be obtained using the algorithms:

** Published:**

In this short tutorial we will implement two different methods for finding the maximum likelihood estimate (MLE) of a logistic regression model (McCullagh and Nelder, 1989), using Python. The MLE will be obtained using the algorithms: