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.