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.
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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.
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Add this copy of Bankruptcy Prediction Through Soft Computing Based Deep to cart. $51.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2017 by Springer.
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