معرفی
Kaveh Salehzadeh Nobari is a Researcher at the Brevan Howard Centre for Financial Analysis within the Business School at Imperial College London. He holds a PhD in Econometric Theory from Durham University, supervised by Professor Abderrahim Taamouti. Previously, he was a Senior Postdoctoral Research Associate at Lancaster University, collaborating with the University of Oxford and the Office for National Statistics (ONS) on high-dimensional statistics projects. His research focuses on advanced statistical methodologies in econometrics, including Granger causality analysis and predictive regressions.
Education:
- PhD in Econometric Theory, Durham University
His research interests revolve around High-Dimensional Statistics, Time-Series Analysis, and Financial Econometrics, with applications to climate risk mitigation and carbon markets. He has developed the 'DisaggregateTS' package for time-series disaggregation and contributed to penalized generalized least squares estimation techniques.
His recent work emphasizes exact point-optimal sign-based inference and copula-based testing frameworks, addressing challenges in nonlinear predictive modeling and high-dimensional data analysis.
