1. Ojo, O.O. and A.A. Adepoju, 2021. Bayesian analysis of macroeconomic variables on national savings. Commun. Stat. Case Stud. Data Anal. Appl., 7: 432-441.
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2. Ogundunmade, T.P. and A.A. Adepoju, 2021. The performance of artificial neural network using heterogeneous transfer functions. Int. J. Data. Sci., 2: 92-103.
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3. Onatunji, A.P., A.A. Adepoju, O.A. Adesina and O.V. Oni, 2020. Bayesian estimation of seemingly unrelated regression with collinear categorical explanatory variables. Int. J. Math. Stat. Stud., 8: 1-8.
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4. Awe, O.O. and A.A. Adepoju, 2020. Change-point detection in CO₂ emission-energy consumption nexus using a recursive Bayesian estimation approach. Stat. Transition New Ser., 21: 123-136.
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5. Awe, O.O. and A.A. Adepoju, 2020. Bayesian estimation of time-varying parameters in dynamic state space models in the presence of discounted evolution variance. J. Niger. Math. Soc., 39: 183-209.
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6. Oseni, B.A., O.E. Olubusoye and A.A. Adepoju, 2019. Bayesian estimation of normal linear regression model with heteroscedasticity error structures. Asian J. Probab. Stat., Vol. 4. 10.9734/ajpas/2019/v4i230111.
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7. Adepoju, A.A. and T.P. Ogundunmade, 2019. Dynamic linear regression by Bayesian and bootstrapping techniques. Econophys. Appl. Field Econ., 37: 166-181.
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8. Adepoju, A.A. and O.O. Ojo, 2019. A comparative analysis of posterior simulation techniques in the estimation of Bayesian regression model. Tourism Mobility Sustainable Dev., 37: 139-149.
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9. Olutayo, I.J., A.A. Adedayo and A.O. Ayobami, 2018. Effects of varying substitution parameter (ρ) of the CES production function on the estimation methods: Bayesian and frequentist approaches. Global J. Pure Appl. Sci., 24: 51-59.
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10. Adepoju, A.A., O.O. Alaba and P. Ogundunmadetayo, 2018. Bayesian estimation of simultaneous equation model with lagged endogenous variables and first order serially correlated errors. Global J. Pure Appl. Sci., 24: 235-244.
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