Simulated likelihood inference for stochastic volatility models using continuous particle filtering

Simulated likelihood inference for stochastic volatility models using continuous particle filtering

Εμφάνιση άλλων εκδόσεων (1)

Discrete-time stochastic volatility (SV) models have generated a considerable literature in financial econometrics. However, carrying out inference for these models is a difficult task and often relies on carefully customized Markov chain Monte Carlo techniques. Our contribution here is twofold. Fir...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Pitt, M, Malik, S, Doucet, A
Μορφή:	Journal article
Έκδοση:	2014

Παρόμοια τεκμήρια

Simulated likelihood inference for stochastic volatility models using continuous particle filtering
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