-
1
-
-
0002350223
-
Bayesian inference on GARCH models using Gibbs sampler
-
Bauwens, L. and Lubrano, M. (1998). Bayesian inference on GARCH models using Gibbs sampler, Econometrics Journal 1: 23-46.
-
(1998)
Econometrics Journal
, vol.1
, pp. 23-46
-
-
Bauwens, L.1
Lubrano, M.2
-
2
-
-
42449156579
-
A generalized autoregressive conditional heteroskedasticity
-
Bollerslev, T. (1986). A generalized autoregressive conditional heteroskedasticity, Journal of Econometrics 31: 307-327.
-
(1986)
Journal of Econometrics
, vol.31
, pp. 307-327
-
-
Bollerslev, T.1
-
3
-
-
0001711056
-
ARCH models
-
R. Eagle and D. McFadden (eds), Elsevier Science B.V., Amsterdam
-
Bollerslev, T., Engle, R. and Nelson, D. (1994). ARCH models, in R. Eagle and D. McFadden (eds), Handbook of Econometrics, Vol. 4, Elsevier Science B.V., Amsterdam.
-
(1994)
Handbook of Econometrics
, vol.4
-
-
Bollerslev, T.1
Engle, R.2
Nelson, D.3
-
5
-
-
0041974049
-
Marginal likelihood from the Gibbs output
-
Chib, S. (1995). Marginal likelihood from the Gibbs output, Journal of the American Statistical Association 90(432): 1313-1321.
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.432
, pp. 1313-1321
-
-
Chib, S.1
-
7
-
-
0000712567
-
Bayesian model discrimination and Bayes factor for linear Gaussian state space models
-
Frühwirth-Schnatter, S. (1995). Bayesian model discrimination and Bayes factor for linear Gaussian state space models, Journal of the Royal Statistical Society, series B 57: 237-246.
-
(1995)
Journal of the Royal Statistical Society, Series B
, vol.57
, pp. 237-246
-
-
Frühwirth-Schnatter, S.1
-
8
-
-
33750369868
-
Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques
-
Prühwirth-Schnatter, S. (2004). Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques, The Econometrics Journal 7: 143-167.
-
(2004)
The Econometrics Journal
, vol.7
, pp. 143-167
-
-
Prühwirth-Schnatter, S.1
-
11
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
Gelman, A. and Rubin, D. (1992). Inference from iterative simulation using multiple sequences (with discussion), Statistical Science 7: 457-511.
-
(1992)
Statistical Science
, vol.7
, pp. 457-511
-
-
Gelman, A.1
Rubin, D.2
-
12
-
-
0001032163
-
Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments
-
J. Bernardo, J. Berger, A. Dawid and A. Smith (eds), Oxford University Press
-
Geweke, J. (1992). Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments, in J. Bernardo, J. Berger, A. Dawid and A. Smith (eds), Bayesian Statistics, Vol. 4, Oxford University Press, pp. 169-193.
-
(1992)
Bayesian Statistics
, vol.4
, pp. 169-193
-
-
Geweke, J.1
-
13
-
-
84986088295
-
Bayesian treatment of the independent Student-t linear model
-
Geweke, J. (1993). Bayesian treatment of the independent Student-t linear model, Journal of Applied Econometrics 8: 19-40.
-
(1993)
Journal of Applied Econometrics
, vol.8
, pp. 19-40
-
-
Geweke, J.1
-
15
-
-
77956889087
-
Reversible jump MCMC computation and Bayesian model determination
-
Green, P. (1995). Reversible jump MCMC computation and Bayesian model determination, Biometrika 82: 711-732.
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.1
-
16
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
Hastings, W. (1970). Monte Carlo sampling methods using Markov chains and their applications, Biometrika 57: 97-109.
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.1
-
20
-
-
0001251517
-
Stochastic volatility: Likelihood inference and comparison with ARCH models
-
Kim, S., Shephard, N. and Chib, S. (1998). Stochastic volatility: Likelihood inference and comparison with ARCH models, Review of Economic Studies 65: 361-393.
-
(1998)
Review of Economic Studies
, vol.65
, pp. 361-393
-
-
Kim, S.1
Shephard, N.2
Chib, S.3
-
22
-
-
0033460110
-
Bayes factors: What they are and what they are not
-
Lavine, M. and Scherrish, M. (1999). Bayes factors: What they are and what they are not, The American Statistician 53: 119-122.
-
(1999)
The American Statistician
, vol.53
, pp. 119-122
-
-
Lavine, M.1
Scherrish, M.2
-
23
-
-
21444451325
-
Simulating ratios of normalizing constants via a simple identity
-
Meng, X. and Wong, W. (1996). Simulating ratios of normalizing constants via a simple identity, Statistical Sinica 6: 831-860.
-
(1996)
Statistical Sinica
, vol.6
, pp. 831-860
-
-
Meng, X.1
Wong, W.2
-
24
-
-
33750360886
-
-
Technical report, Austrian Research Institute for Artificial Intelegence
-
Miazhynskaia, T., Frühwirth-Schnatter, S. and Dorffner, G. (2004). Bayesian testing for non-linearity in volatility modeling, Technical report, Austrian Research Institute for Artificial Intelegence.
-
(2004)
Bayesian Testing for Non-linearity in Volatility Modeling
-
-
Miazhynskaia, T.1
Frühwirth-Schnatter, S.2
Dorffner, G.3
-
26
-
-
0347318519
-
Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach
-
Nakatsuma, T. (2000), Bayesian analysis of ARMA-GARCH models: a Markov chain sampling approach, Journal of Econometrics 95: 57-69.
-
(2000)
Journal of Econometrics
, vol.95
, pp. 57-69
-
-
Nakatsuma, T.1
-
28
-
-
0000759236
-
How many iterations in the Gibbs sampler
-
J. Bernardo, J. Berger, A. Dawid and A. Smith (eds), Oxford University Press
-
Raftery, A. and Lewis, S. (1992). How many iterations in the Gibbs sampler, in J. Bernardo, J. Berger, A. Dawid and A. Smith (eds), Bayesian Statistics, Vol. 4, Oxford University Press, pp. 763-773.
-
(1992)
Bayesian Statistics
, vol.4
, pp. 763-773
-
-
Raftery, A.1
Lewis, S.2
-
29
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G. (1978). Estimating the dimension of a model, The Annals of Statistics 6: 461-464.
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
30
-
-
0001790102
-
Statistical aspects of ARCH and stochastic volatility
-
D. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen (eds), London: Chapman & Hall
-
Shephard, N. (1996). Statistical aspects of ARCH and stochastic volatility, in D. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen (eds), Time Series Models in Econometrics, Finance and Other Fields, London: Chapman & Hall, pp. 1-67.
-
(1996)
Time Series Models in Econometrics, Finance and Other Fields
, pp. 1-67
-
-
Shephard, N.1
-
31
-
-
0000576595
-
Markov chains for exploring posterior distributions
-
Tierney, L. (1994). Markov chains for exploring posterior distributions, Annals of Statistics 21: 1701-1762.
-
(1994)
Annals of Statistics
, vol.21
, pp. 1701-1762
-
-
Tierney, L.1
-
32
-
-
0034403866
-
Full Bayesian inference for GARCH and EGARCH models
-
Vrontos, I., Dellaportas, P. and Politis, D. (2000). Full Bayesian inference for GARCH and EGARCH models, Journal of Business & Economic Statistics 18(2): 187-198.
-
(2000)
Journal of Business & Economic Statistics
, vol.18
, Issue.2
, pp. 187-198
-
-
Vrontos, I.1
Dellaportas, P.2
Politis, D.3
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