Sequential parameter and state learning in continuous time stochastic volatility models using the SMC² algorithm
In this Master’s thesis, joint sequential inference of both parameters and states of stochastic volatility models is carried out using the SMC2 algorithm found in SMC2: an efficient algorithm for sequential analysis of state-space models, Nicolas Chopin, Pierre E. Jacob, Omiros Papaspiliopoulos. The...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177104 |