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default process. The major contribution to previous literature is to allow the estimation of non-linear forward intensities by … using neural networks instead of classical maximum likelihood estimation. The model specification allows an easy replication …
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estimation plays a key role in its evaluation. Assuming a structural credit risk modeling approach, we study the impact of … effects of different non-parametric estimation techniques on default probability evaluation. The impact of the non …
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