Shakeel Gavioli-Akilagun

Hello! Welcome to Shakeel's academic website. I am a PhD student and Fellow in Statistics at the London School of Economics and Political Science; I am part of the Time Series and Statistical Learning research group, and am fortunate to be supervised by Professor Piotr Fryzlewicz. Some of my research interests include:
  • Multiscale statistical modeling
  • Change points and feature detection
  • Shape constrained estimation
  • Aspects of causal inference
A recent version of my CV can be found here.


Research:

Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing. S. Gavioli-Akilagun and P. Fryzlewicz. Under revision (2024) [arXiv; R package; numerical examples]

Invited discussion of "Automatic Change-Point Detection in Time Series via Deep Learning" by Li, Fearnhead, Fryzlewicz, and Wang. S. Gavioli-Akilagun. Journal of the Royal Statistical Society Series B (2023) [discussion; slides; paper]

Detecting Changes in Production Frontiers. S. Gavioli-Akilagun and Y. Chen. Work in progress (2024+)

Online Detection of Changes in Mean Reverting Processes with Local Cointergration. S. Gavioli-Akilagun, B. Dou, S. Tiwari, and Q. Yao. Work in progress (2024+)

Robust Inference for Change Points in Piecewise Polynomials using Confidence Sets. S. Gavioli-Akilagun and P. Fryzlewicz. Manuscript in preparation (2023+)

Recovering Causal Structures in Change Point Regressions via Hawkes Process Representation. S. Gavioli-Akilagun and P. Fryzlewicz. Manuscript in preparation (2023+)


Recent and upcoming events:


Teaching:

This academic year (2023/24) I am the GTA for the following courses (office hours bookable via the Student Hub).