Application of Bayesian Model Averaging to Carbon Emissions in Nigeria

In this book, the application of Bayesian Model Averaging in Environmental Statistics, were discussed. Uncertainties of variables in the model and elicitation of parameters were also extensively looked into. Series of literature were reviewed, especially those focusing on parameter prior elicitation and sensitivity in Bayesian Model Averaging as applicable to various milieus of science. To this end, three modified g-parameter priors were elicited and their asymptotic properties were derived in Bayesian Model Averaging. Specifically the modified g-parameter priors elicited are consistent in both the Posterior Model Probabilities and Bayes factor for the model. In addition, the sensitivities of these modified g-parameter priors were investigated using both the simulated results and data sets from carbon emissions in Nigeria from 1975 - 2015.

Autorentext

Oladapo Oladoja is a lecturer of Statistics at Abiola Ajimobi Technical University, Ibadan, Nigeria.Abdulmalik is a graduate of ABiola Ajimobi Technical University, Ibadan Nigeria. He is currently running his Masters Degree at the University of Lagos, Nigeria.