Bayesian & Econometrics Wiki
154 concepts · 275 sources · 277 entities
Sources (275)
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- Chen, M.-H., D. K. Dey, and D. Sinha. (2000). "Bayesian Analysis of Multivariate Mortality Data with Large Families." Applied Statistics 49(1): 129–144.
- Chen, Ming-Hui, Joseph G. Ibrahim, Debajyoti Sinha. (1999). Chen-Ibrahim-Sinha (1999) A New Bayesian Model for Survival Data with a Surviving Fraction. paper.
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- Chib, S. and E. Greenberg. (1995b). "Hierarchical Analysis of SUR Models with Extensions to Correlated Serial Errors and Time-Varying Parameter Models." Journal of Econometrics 68: 339–360.
- Chib, S. (1996). "Calculating Posterior Distributions and Modal Estimates in Markov Mixture Models." Journal of Econometrics 75: 79–97.
- Chib, S. and E. Greenberg. (1995a). "Understanding the Metropolis-Hastings Algorithm." The American Statistician 49: 327–335.
- Chib, S. (1995). "Marginal Likelihood from the Gibbs Output." Journal of the American Statistical Association 90: 1313–1321.
- Chib, James H. Albert; Siddhartha. (1998). Albert-Chib (1998) Sequential Ordinal Modeling with Applications to Survival Data. paper.
- Chib, S. and E. Greenberg. (1998). "Analysis of Multivariate Probit Models." Biometrika 85: 347–361.
- Chib, S. and B.P. Carlin. (1999). "On MCMC Sampling in Hierarchical Longitudinal Models." Statistics and Computing 9(1): 17–26.
- Chib, S. (2001). "Markov Chain Monte Carlo Methods: Computation and Inference." In J.J. Heckman and E. Leamer (eds.), Handbook of Econometrics, Vol. 5, Ch. 57, pp. 3569–3649. Amsterdam: Elsevier.
- Chib, S. and I. Jeliazkov. (2001). "Marginal Likelihood from the Metropolis-Hastings Output." Journal of the American Statistical Association 96(453): 270–281.
- Chib, S., F. Nardari, and N. Shephard. (2002). "Markov Chain Monte Carlo Methods for Stochastic Volatility Models." Journal of Econometrics 108: 281–316.
- Chib, S., F. Nardari, and N. Shephard. (2006). "Analysis of High Dimensional Multivariate Stochastic Volatility Models." Journal of Econometrics 134: 341–371.
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