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Seminar in statistics and data science: Alexis Akria Toda

We are very pleased to invite you to our next Tuesday seminar of Seminar series in Statistics and Data Science

Speaker: Alexis Akria Toda, Associate Professor at the University of California San Diego

Title: Recent Advances in the Theory of Power Law and Applications

When? Wednesday 22.05.2024, 14:15-15:30

Where?  Erling Svedrups plass and Zoom 
https://uio.zoom.us/j/66503159220?pwd=alhPVFpHNUxVUTNoeHhIcVFtUWx4UT09 

Abstract: In this talk I will cover the recent advances in the theory of power law distributions, in particular the role of Markov modulation and random stopping emphasized by Beare and Toda (2022), which builds on Nakagawa (2007)’s Tauberian theorem. Applications include the emergence of Zipf’s law in Japanese cities and the spread of COVID-19. I will also present open mathematical problems.

• Beare, Brendan K., and Alexis Akira Toda. "Determination of Pareto exponents in economic models driven by Markov multiplicative processes." Econometrica 90.4 (2022): 1811-1833.

• Nakagawa, Kenji. "Application of Tauberian theorem to the exponential decay of the tail probability of a random variable." IEEE Transactions on Information Theory 53.9 (2007): 3239-3249.

• Beare, Brendan K., and Alexis Akira Toda. "On the emergence of a power law in the distribution of COVID-19 cases." Physica D: Nonlinear Phenomena 412 (2020): 132649.

Welcome!

Best regards,
Sven Ove Samuelsen & Aliaksandr Hubin