Headshot of Hammed Olayinka

Office Location

Salisbury Lab 405
Phone
+1 774-327-4544
Hammed Olayinka
Education
Worcester Polytechnic Institute, MS Applied Statistics, 2024
University of Ibadan, Nigeria, BSc. Statistics, 2019
The Federal Polytechnic Ede, Nigeria, National Diploma in Statistics, 2015

Hammed is a PhD student in Statistics with a strong interest in Bayesian methods. His research focuses on Bayesian analysis of time series data, spatial statistics, high-dimensional data, and small area estimation. He holds an MS in Applied Statistics from WPI, and a BS in Statistics from University of Ibadan, Nigeria. He is working under the supervision of Professor Balgobin Nandram on developing and applying Bayesian Vector Autoregressive (BVAR) and Conditional Autoregressive (CAR) models. His work aims to improve statistical inference in complex data structures, particularly in areas with spatial and temporal dependencies. Through his research, he seeks to analyze income inequality and promote economic mobility in the United States.

Headshot of Hammed Olayinka
Hammed Olayinka

Hammed is a PhD student in Statistics with a strong interest in Bayesian methods. His research focuses on Bayesian analysis of time series data, spatial statistics, high-dimensional data, and small area estimation. He holds an MS in Applied Statistics from WPI, and a BS in Statistics from University of Ibadan, Nigeria. He is working under the supervision of Professor Balgobin Nandram on developing and applying Bayesian Vector Autoregressive (BVAR) and Conditional Autoregressive (CAR) models. His work aims to improve statistical inference in complex data structures, particularly in areas with spatial and temporal dependencies. Through his research, he seeks to analyze income inequality and promote economic mobility in the United States.

Office Location

Salisbury Lab 405
Phone
+1 774-327-4544

Research Interests

Bayesian Vector Autoregressive and Conditional Autoregressive methods
Financial Times Series analysis
Spatial statistics
High-dimensional data
Small Area estimation
Publication Information

Olalude, G. A., Olayinka, H. A., Esiegbe, E. O., & Adebiyi, A. A. (2024). Justification of Intimate Partner Violence among Women in Nigeria: How Does it Differ by Socioeconomic Status? Journal of Interpersonal Violence, 0(0). https://doi.org/10.1177/08862605241265447.

 

Grabill, N., Wang, S., Olayinka, H. A. De Alwis, T. P., Khalil, Y. F., Zou, J. (2024). AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications. Reliability Engineering & System Safety, 110308. https://doi.org/10.1016/j.ress.2024.110308.

 

Yaya, O. S., Olayinka, H. A., Ogbonna, A. E., Saleh Al-Faryan, M. A., & Vinh Vo, X. (2024). Dynamic connectedness of economic policy uncertainty in G7 countries and the influence of the USA and UK on non-G7 countries. Economic Change and Restructuring, (2024) 57:76.

https://doi.org/10.1007/s10644-024-09658-1.

 

Yaya, O. S., Adenikinju, O. O., & Olayinka, H. A. (2024). African stock markets’ connectedness: Quantile VAR approach. Modern Finance, 2(1), 51-68. https://doi.org/10.61351/mf.v2i1.70

 

Ajao I. O., Olayinka, H. A., Olugbode, M.A, Yaya, O.S. & Shittu, O.I. (2023). Long memory cointegration and dynamic connectedness of volatility in US dollar exchange rates, with FOREX portfolio investment strategy. Quantitative Finance and Economics, 7(4), 646-664.

https:/doi.org/10.3934/QFE.2023031

 

Yaya, S. O., Adesina, O. A., Olayinka, H. A., Oluseyi E Ogunsola, & Gil-Alana, L. A. (2023). Long Memory Cointegration in the Analysis of Maximum, Minimum and Range Temperatures in Africa: Implications for Climate Change, Atmosphere, 14(8), 1299. https://doi.org/10.3390/atmos14081299

 

Olalude, G. A., Yaya, O. S, Olayinka, H. A., Jimoh, T. A., & Adebiyi, A. A. (2023). Household Expenditure in Africa: Evidence of Mean Reversion. Statistics in Transition New Series, 24(3), 171-186. https://doi.org/10.59170/stattrans-2023-042