Bayesian Neural Networks for Financial Asset Forecasting
Neural networks are powerful tools for modelling complex non-linear mappings, but they often suffer from overfitting and provide no measures of uncertainty in their predictions. Bayesian techniques are proposed as a remedy to these problems, as these both regularize and provide an inherent measure o...
Main Authors: | , |
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Format: | Others |
Language: | English |
Published: |
KTH, Matematisk statistik
2019
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252562 |