Seminário - Imecc Unicamp
Amanhã, dia 3, estarei dando um seminário no Imecc-Unicamp:
Nem preciso dizer o quanto é bom estar de volta ao Imecc. Sinto muilta falta do ambiente e dos amigos de lá. Fico na Unicamp nos dias 3 e 4, e espero aproveitar bastante a estadia.
A Hybrid Data Cloning Maximum Likelihood Estimator for Stochastic Volatility Models
Márcio Laurini
Abstract
In
this paper we analyze a maximum likelihood estimator using data cloning for
stochastic volatility models.This estimator is constructed using a hybrid
methodology based on Integrated Nested Laplace Approximations to calculate
analytically the auxiliary Bayesian estimators with great accuracy and
computational efficiency, without requiring the use of simulation methods as
Markov Chain Monte Carlo. We analyze the performance of this estimator compared
to methods based in Monte Carlo simulations (Simulated Maximum Likelihood, MCMC
Maximum Likelihood) and approximate maximum likelihood estimators using Laplace
Approximations. The results indicate that this data cloning methodology
achieves superior results over methods based on MCMC, and comparable to results
obtained by the Simulated Maximum Likelihood estimator.
Nem preciso dizer o quanto é bom estar de volta ao Imecc. Sinto muilta falta do ambiente e dos amigos de lá. Fico na Unicamp nos dias 3 e 4, e espero aproveitar bastante a estadia.
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