Highlights the latest research on deep learning integrated with hierarchical Bayesian statistics for bankruptcy prediction.

Presents the mathematical framework of the prediction model in a very lucid manner.

Experiments use real-world datasets and the results support the theoretical hypothesis.

A valuable resource for postgraduate students and researchers in deep learning and mathematical finance.

The proposed prediction model can be applied to any skewed real life dataset.