Publications
2020
Maximum-Likelihood Estimation in a Special Integer Autoregressive Model
Jung, R. C., & Tremayne, A. R. (2020). Maximum-Likelihood Estimation in a Special Integer Autoregressive Model. Econometrics, 8(2). doi:10.3390/econometrics8020024
2014
Efficient Methods of Moments Estimators for Integer Time Series Models
Martin, V. L., Tremayne, A. R., & Jung, R. C. (2014). Efficient Methods of Moments Estimators for Integer Time Series Models. Journal of Time Series Analysis, 35(6), 491-516. doi:10.1111/jtsa.12078
2011
Convolution-closed models for count time series with applications
Jung, R. C., & Tremayne, A. R. (2011). Convolution-closed models for count time series with applications. Journal of Time Series Analysis, 32(3), 268-280. doi:10.1111/j.1467-9892.2010.00697.x
Useful Models for Time Series of Counts or Simply Wrong Ones?
Jung, R. C., & Tremayne, A. R. (2011). Useful Models for Time Series of Counts or Simply Wrong Ones?. Advances in Statistical Analysis, 95, 59-91.
2010
Exploratory Data Analysis and Model Criticism with Posterior Plots
Naylor, J. C., Tremayne, A. R., & Marriott, J. M. (2010). Exploratory Data Analysis and Model Criticism with Posterior Plots. Computational Statistics and Data Analysis, 54, 2721-2735.
2009
Modelling monetary transmission in UK manufacturing industry
Tena, J. D. D., & Tremayne, A. R. (2009). Modelling monetary transmission in UK manufacturing industry. Economic Modelling, 26(5), 1053-1066. doi:10.1016/j.econmod.2009.04.003
Panel unit root tests in the presence of cross-sectional dependence: finite sample performance and an application
de Silva, S., Hadri, K., & Tremayne, A. R. (2009). Panel unit root tests in the presence of cross-sectional dependence: finite sample performance and an application. Econometrics Journal, 12(2), 340-366. doi:10.1111/j.1368-423x.2009.00287.x
2005
Assessing Persistence In Discrete Nonstationary Time‐Series Models
McCabe, B. P. M., Martin, G. M., & Tremayne, A. R. (2005). Assessing Persistence In Discrete Nonstationary Time‐Series Models. Journal of Time Series Analysis, 26(2), 305-317. doi:10.1111/j.1467-9892.2005.00402.x