메뉴 건너뛰기




Volumn 52, Issue 6, 2008, Pages 2911-2930

Parameterisation and efficient MCMC estimation of non-Gaussian state space models

Author keywords

Bayesian estimation; Inefficiency factor; Non centred parameterisations; Stochastic conditional duration model; Stochastic volatility model

Indexed keywords

BAYESIAN NETWORKS; COMPUTER SIMULATION; GAUSSIAN DISTRIBUTION; MARKOV PROCESSES; PARAMETERIZATION;

EID: 39049149494     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2007.10.010     Document Type: Article
Times cited : (24)

References (28)
  • 1
    • 0001758906 scopus 로고
    • Heteroscedasticity and autocorrelation consistent covariance matrix estimation
    • Andrews D. Heteroscedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59 (1991) 817-858
    • (1991) Econometrica , vol.59 , pp. 817-858
    • Andrews, D.1
  • 2
    • 1642443326 scopus 로고    scopus 로고
    • The stochastic conditional duration model: a latent variable model for the analysis of financial durations
    • Bauwens L., and Veredas D. The stochastic conditional duration model: a latent variable model for the analysis of financial durations. J. Econometrics 199 (2004) 381-412
    • (2004) J. Econometrics , vol.199 , pp. 381-412
    • Bauwens, L.1    Veredas, D.2
  • 3
    • 33747791791 scopus 로고    scopus 로고
    • Inference for adaptive time series models: stochastic volatility and conditionally Gaussian state space form
    • Bos C., and Shephard N. Inference for adaptive time series models: stochastic volatility and conditionally Gaussian state space form. Econometric Rev. 25 (2006) 244-279
    • (2006) Econometric Rev. , vol.25 , pp. 244-279
    • Bos, C.1    Shephard, N.2
  • 4
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • Carter C., and Kohn R. On Gibbs sampling for state space models. Biometrika 81 (1994) 541-553
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.1    Kohn, R.2
  • 5
    • 0030492729 scopus 로고    scopus 로고
    • Markov chain Monte Carlo simulation methods in econometrics
    • Chib S., and Greenberg E. Markov chain Monte Carlo simulation methods in econometrics. Econometric Theory 12 (1996) 407-431
    • (1996) Econometric Theory , vol.12 , pp. 407-431
    • Chib, S.1    Greenberg, E.2
  • 6
    • 0034354798 scopus 로고    scopus 로고
    • Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
    • Durbin J., and Koopman S. Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives. J. Roy. Statist. Soc. Ser. B 62 (2000) 3-56
    • (2000) J. Roy. Statist. Soc. Ser. B , vol.62 , pp. 3-56
    • Durbin, J.1    Koopman, S.2
  • 8
    • 0000373457 scopus 로고    scopus 로고
    • Autoregressive conditional duration: a new approach for irregularly spaced transaction data
    • Engle R., and Russell J. Autoregressive conditional duration: a new approach for irregularly spaced transaction data. Econometrica 66 (1998) 987-1007
    • (1998) Econometrica , vol.66 , pp. 987-1007
    • Engle, R.1    Russell, J.2
  • 10
    • 39049158088 scopus 로고    scopus 로고
    • Frühwirth-Schnatter, S., Sögner, L., 2003. Bayesian estimation of the Heston stochastic volatility model, Working paper, Johannes Kepler University Linz.
    • Frühwirth-Schnatter, S., Sögner, L., 2003. Bayesian estimation of the Heston stochastic volatility model, Working paper, Johannes Kepler University Linz.
  • 11
    • 0001574731 scopus 로고
    • Efficient parameterisations for normal linear mixed models
    • Gelfland A., Sahu S., and Carlin B. Efficient parameterisations for normal linear mixed models. Biometrika (1995) 479-488
    • (1995) Biometrika , pp. 479-488
    • Gelfland, A.1    Sahu, S.2    Carlin, B.3
  • 12
    • 84962984403 scopus 로고
    • Multivariate stochastic variance models
    • Harvey A., Ruiz E., and Shephard N. Multivariate stochastic variance models. Rev. Econom. Stud. 61 (1994) 247-264
    • (1994) Rev. Econom. Stud. , vol.61 , pp. 247-264
    • Harvey, A.1    Ruiz, E.2    Shephard, N.3
  • 14
    • 33750967610 scopus 로고    scopus 로고
    • Time series of count data: modeling, estimation and diagnostics
    • Jung R., Kukuk M., and Liesenfeld R. Time series of count data: modeling, estimation and diagnostics. Comput. Statist. Data Anal. 51 (2006) 2350-2364
    • (2006) Comput. Statist. Data Anal. , vol.51 , pp. 2350-2364
    • Jung, R.1    Kukuk, M.2    Liesenfeld, R.3
  • 15
    • 0001251517 scopus 로고    scopus 로고
    • Stochastic volatility: likelihood inference and comparison with ARCH models
    • Kim S., Shephard N., and Chib S. Stochastic volatility: likelihood inference and comparison with ARCH models. Rev. Econom. Stud. 65 (1998) 361-393
    • (1998) Rev. Econom. Stud. , vol.65 , pp. 361-393
    • Kim, S.1    Shephard, N.2    Chib, S.3
  • 16
    • 0038521361 scopus 로고    scopus 로고
    • Univariate and multivariate stochastic volatility models: estimation and diagnostics
    • Liesenfeld R., and Richard J.-F. Univariate and multivariate stochastic volatility models: estimation and diagnostics. J. Empirical Finance 10 (2003) 505-531
    • (2003) J. Empirical Finance , vol.10 , pp. 505-531
    • Liesenfeld, R.1    Richard, J.-F.2
  • 17
    • 2442627902 scopus 로고    scopus 로고
    • Non-centred parameterisations for hierarchical models and data augmentation
    • Oxford University Press, Oxford
    • Papaspiliopoulos O., Roberts G., and Sköld M. Non-centred parameterisations for hierarchical models and data augmentation. Bayesian Statist. vol. 7 (2003), Oxford University Press, Oxford 307-326
    • (2003) Bayesian Statist. , vol.7 , pp. 307-326
    • Papaspiliopoulos, O.1    Roberts, G.2    Sköld, M.3
  • 18
    • 0347609323 scopus 로고    scopus 로고
    • Discussion of Durbin and Koopman (2000)
    • Pitt M. Discussion of Durbin and Koopman (2000). J. Roy. Statist. Soc. Ser. B 62 (2000) 30-32
    • (2000) J. Roy. Statist. Soc. Ser. B , vol.62 , pp. 30-32
    • Pitt, M.1
  • 19
    • 0040291797 scopus 로고    scopus 로고
    • Analytic convergence rates and parameterisation issues for the Gibbs sampler applied to state space models
    • Pitt M., and Shephard N. Analytic convergence rates and parameterisation issues for the Gibbs sampler applied to state space models. J. Time Ser. Anal. 20 (1999) 63-85
    • (1999) J. Time Ser. Anal. , vol.20 , pp. 63-85
    • Pitt, M.1    Shephard, N.2
  • 20
    • 0000759236 scopus 로고
    • How many iterations in the Gibbs sampler?
    • Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds), Oxford University Press, Oxford
    • Raftery A.L., and Lewis S. How many iterations in the Gibbs sampler?. In: Bernardo J.M., Berger J.O., Dawid A.P., and Smith A.F.M. (Eds). In Bayesian Statistics 4 (1992), Oxford University Press, Oxford
    • (1992) In Bayesian Statistics 4
    • Raftery, A.L.1    Lewis, S.2
  • 21
    • 0033611397 scopus 로고    scopus 로고
    • Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms
    • Robert C., and Mengersen K. Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms. Comput. Statist. Data Anal. 29 (1999) 325-343
    • (1999) Comput. Statist. Data Anal. , vol.29 , pp. 325-343
    • Robert, C.1    Mengersen, K.2
  • 22
    • 0000051645 scopus 로고    scopus 로고
    • Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler
    • Roberts G., and Sahu S. Updating schemes, correlation structure, blocking and parameterisation for the Gibbs sampler. J. Roy. Statist. Soc. Ser. B 59 (1997) 291-317
    • (1997) J. Roy. Statist. Soc. Ser. B , vol.59 , pp. 291-317
    • Roberts, G.1    Sahu, S.2
  • 23
    • 2442549612 scopus 로고    scopus 로고
    • Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes
    • Roberts G., Papaspiliopoulos O., and Dellaportas P. Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes. J. Roy. Statist. Soc. Ser. B 66 (2004) 369-393
    • (2004) J. Roy. Statist. Soc. Ser. B , vol.66 , pp. 369-393
    • Roberts, G.1    Papaspiliopoulos, O.2    Dellaportas, P.3
  • 24
    • 0038853197 scopus 로고
    • Partial non-Gaussian state space
    • Shephard N. Partial non-Gaussian state space. Biometrika 81 (1994) 115-131
    • (1994) Biometrika , vol.81 , pp. 115-131
    • Shephard, N.1
  • 25
    • 0003258788 scopus 로고    scopus 로고
    • Likelihood analysis of non-Gaussian measurement time series
    • Shephard N., and Pitt M. Likelihood analysis of non-Gaussian measurement time series. Biometrika 84 (1997) 653-667
    • (1997) Biometrika , vol.84 , pp. 653-667
    • Shephard, N.1    Pitt, M.2
  • 28
    • 0011247415 scopus 로고    scopus 로고
    • A nonlinear autoregressive conditional duration model with applications to financial transaction data
    • Zhang M., Russell J., and Tsay R. A nonlinear autoregressive conditional duration model with applications to financial transaction data. J. Econometrics 104 (2001) 179-207
    • (2001) J. Econometrics , vol.104 , pp. 179-207
    • Zhang, M.1    Russell, J.2    Tsay, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.