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Efficient importance sampling for ML estimation of SCD models. (2007). Galli, Fausto ; Bauwens, Luc.
In: Discussion Papers (ECON - Département des Sciences Economiques).
RePEc:ctl:louvec:2007032.

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  1. Estimating stochastic volatility models using realized measures. (2016). Bastian, Gribisch ; Jeremias, Bekierman .
    In: Studies in Nonlinear Dynamics & Econometrics.
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  2. Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables. (2015). Richard, Jean-Franois.
    In: Working Paper.
    RePEc:pit:wpaper:5778.

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  3. Bayesian Inference of Multiscale Stochastic Conditional Duration Models. (2013). Wirjanto, Tony ; Men, Zhongxian ; Kolkiewicz, Adam W..
    In: Working Paper series.
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  4. Stochastic Conditional Duration Models with Mixture Processes. (2013). Wirjanto, Tony ; Men, Zhongxian ; Kolkiewicz, Adam W..
    In: Working Paper series.
    RePEc:rim:rimwps:29_13.

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  5. Bayesian Inference of Asymmetric Stochastic Conditional Duration Models. (2013). Wirjanto, Tony ; Men, Zhongxian ; Kolkiewicz, Adam W..
    In: Working Paper series.
    RePEc:rim:rimwps:28_13.

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  6. Efficient high-dimensional importance sampling in mixture frameworks. (2011). Kleppe, Tore ; Liesenfeld, Roman.
    In: Economics Working Papers.
    RePEc:zbw:cauewp:201111.

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  7. Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models. (2009). Yu, Jun ; Kleppe, Tore ; Skaug, Hans J..
    In: Working Papers.
    RePEc:siu:wpaper:20-2009.

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  8. AUTOREGRESSIVE CONDITIONAL DURATION MODELS IN FINANCE: A SURVEY OF THE THEORETICAL AND EMPIRICAL LITERATURE. (2008). Pacurar, Maria.
    In: Journal of Economic Surveys.
    RePEc:bla:jecsur:v:22:y:2008:i:4:p:711-751.

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References

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  1. BAUWENS, L., AND D. VEREDAS (2004): The stochastic conditional duration model: a latent factor model for the analysis of financial durations, Journal of Econometrics, 119(2), 38 1-4 12.

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  3. BAUWENS, L., AND P. GI0T (2001): Econometric modelling of stock market intraday activity.
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  4. C. STRICKLAND, C. F., AND G. MARTIN (2006): Bayesian analysis of the stochastic con- ditional duration model, Computational Statistics and Data Analysis, 50(9), 2247-2267.

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  7. FENG, D., G. JIANG, AND P. SONG (2004): Stochastic conditional duration models with leverage effect for financial transaction data, Journal of Financial Econometrics, 2, 390:421.

  8. Kluwer Academic Publishers. BAUWENS, L., AND N. HAUTSCH (2006): Stochastic conditional intensity processes, Jour- nal of Financial Econometrics, 4, 450-493.

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  10. NING, Q. (2004): Estimation of the stochastic conditional duration model via alternative methods - ECF and GMM, mimeo.
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  11. RICHARD, J. F., AND W. ZHANG (1998): Efficient high-dimensional Monte Carlo impor- tance sampling, Mimeo. Department of Economics. University of Pittsburgh. Forthcoming in the Journal of Econometrics.
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