Différences

Ci-dessous, les différences entre deux révisions de la page.

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-Bresson, G., 2019, Comments on `An Econometrician's Perspective on Big Data' by Cheng Hsiao, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, (//forthcoming//).
-Baltagi, B.H., Bresson, G. and J. M. Etienne, 2019, Growth empirics: a Bayesian semiparametric model with random coefficients for a panel of OECD countries, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, (//forthcoming//).
+Bresson, G., Chaturvedi, A., Rahman, A.M. and Shalabh, 2020, Seemingly unrelated regression with measurement error: Estimation via Markov chain Monte Carlo and mean field variational Bayes approximation, **International Journal of Biostatistics**, (//forthcoming//).
+Bresson, G., Lacroix, G. and M.A. Rahman, 2020, Bayesian panel quantile regression for binary outcomes with correlated random effects: An application on crime recidivism in Canada, **Empirical Economics, Special Issue in Honor of Badi H. Baltagi**, (//available online since June, 24 2020//).
+Bresson, G., 2020, Comments on `An Econometrician's Perspective on Big Data' by Cheng Hsiao, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, 431-443.
+Baltagi, B.H., Bresson, G. and J. M. Etienne, 2020, Growth empirics: a Bayesian semiparametric model with random coefficients for a panel of OECD countries, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, 217-253.
 Baltagi, B.H, Bresson, G. and J.M. Etienne, 2019, Carbon dioxide emissions and economic activities: A mean field variational Bayes semiparametric panel data model with random coefficients, **Annals of Economics and Statistics**, 134, 43-78.