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This work presents a continuous volcano-seismic classification system based in the Hidden Markov Models as solution to recently strong needs for automatic event detection and recognition methods in early warning and monitoring scenarios. Furthermore, our system includes a reliable method to assign confidence measures to the recognized signals in order to evaluate the robustness of the results. Data...
This study investigates the performance of Hidden Markov Model (HMM) for credit risk analysis in terms of classification and probability of default (PD) modeling. The PD modeling assigns default bankruptcy probabilities to credit customers instead of strictly classifying them as good (solvent) and bad (insolvent) borrowers. In the first part, the classification ability of HMM is compared to that of...
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