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Results: 1-8 |
Results: 8
Default priors and predictive performance in Bayesian model averaging, with application to growth determinants
Authors: Eicher, Theo S. Papageorgiou, Chris Raftery, Adrian E.
Citation: S. Eicher, Theo et al., Default priors and predictive performance in Bayesian model averaging, with application to growth determinants, Journal of applied econometrics , 26(1), 2011, pp. 30-55
Classification of mixtures of spatial point processes via partial bayes factors
Authors: Walsh, Daniel C. I. Raftery, Adrian E.
Citation: I. Walsh, Daniel C. et E. Raftery, Adrian, Classification of mixtures of spatial point processes via partial bayes factors, Journal of computational and graphical statistics , 14(1), 2005, pp. 139-154
Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone: Comment: Are Ozone Exceedance Rates Decreasing?
Authors: Raftery, Adrian E.
Citation: E. Raftery, Adrian, Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone: Comment: Are Ozone Exceedance Rates Decreasing?, Statistical science , 4(4), 1989, pp. 378-381
Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone: Comment: Are Ozone Exceedance Rates Decreasing?
Authors: Raftery, Adrian E.
Citation: E. Raftery, Adrian, Extreme Value Analysis of Environmental Time Series: An Application to Trend Detection in Ground-Level Ozone: Comment: Are Ozone Exceedance Rates Decreasing?, Statistical science , 35(2), 2020, pp. 378-381
[Statistical Methods for Data with Long-Range Dependence]: Comment: Computational Aspects of Fractionally Differenced ARIMA Modeling for Long- Memory Time Series
Authors: Raftery, Adrian E.
Citation: E. Raftery, Adrian, [Statistical Methods for Data with Long-Range Dependence]: Comment: Computational Aspects of Fractionally Differenced ARIMA Modeling for Long- Memory Time Series, Statistical science , 7(4), 1992, pp. 421-422
Bayesian variable and transformation selection in linear regression
Authors: Hoeting, Jennifer A. Raftery, Adrian E. Madigan, David
Citation: A. Hoeting, Jennifer et al., Bayesian variable and transformation selection in linear regression, Journal of computational and graphical statistics , 11(3), 2002, pp. 485-507
[Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo
Authors: Raftery, Adrian E. Lewis, Steven M.
Citation: E. Raftery, Adrian et M. Lewis, Steven, [Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo, Statistical science , 7(4), 1992, pp. 493-497
Computing normalizing constants for finite mixture models via incremental mixture importance sampling (IMIS)
Authors: Steele, Russell J. Raftery, Adrian E. Emond, Mary J.
Citation: J. Steele, Russell et al., Computing normalizing constants for finite mixture models via incremental mixture importance sampling (IMIS), Journal of computational and graphical statistics , 15(3), 2006, pp. 712-734
Risultati: 1-8 |