معرفی
Georgi Boshnakov is an Honorary Lecturer in the Department of Statistics at The University of Manchester. His research focuses on time series analysis, count data modeling, and Bayesian methods, with applications in finance, sports analytics, and statistical computing. He has contributed to the development of R packages such as countr and sarima, which provide tools for count data regression and seasonal ARIMA modeling. His work emphasizes statistical software development and methodological advancements in mixture autoregressive models and renewal processes.
Education & Affiliations:
- PhD in Statistics (inferred from career trajectory)
- Member of the Statistics and its Applications group at The University of Manchester
- Editorial board member of the Journal of Time Series Analysis
Research Interests:
- Bayesian analysis of time series models
- Count data regression using renewal processes
- Financial risk modeling via mixture autoregressive models
- Development of statistical software for R
Recent Contributions:
- Advances in mixture autoregressive models covering complete parameter spaces
- Asymptotically unbiased variogram estimation techniques
- Portfolio optimization strategies using autoregressive frameworks
Consultancy & Impact:
- Statistical advisory work for the University's Statistical Advisory Unit
- Consultancy on compensation settlements in road traffic accidents
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