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NASC-SQUIDS Joint Seminar: Parameter estimation for weakly interacting hypoelliptic diffusions

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Dates:13 November 2026
Times:12:00 - 13:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, Current University students
Speaker:Yuga Iguchi
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  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Numerical analysis and scientific computing"
  • In group "(Maths) Statistics, quantification of uncertainty, inverse problems and data science"
  • By Department of Mathematics

Speaker: Yuga Iguchi (Lancaster)

Abstract: I will discuss mean-field-type stochastic differential equations (SDEs) and the estimation of their unknown parameters from discretely observed trajectories. These models describe systems of N weakly interacting particles, each governed by an SDE, with a possibly degenerate diffusion matrix. A central challenge is that the transition density, and hence the likelihood, is generally unavailable in closed form. The key idea of this work is to use a carefully designed time discretisation of the interacting particle system to construct a computationally tractable surrogate likelihood, while accounting for the possible degeneracy of the diffusion matrix. I will then present an asymptotic analysis showing that the resulting estimators are consistent and asymptotically normal, providing theoretical guarantees for using the proposed likelihood in practice. If time allows, I will conclude with ongoing work and future directions towards scalable computational approaches for systems with large N interacting particles.

The talk is based on the preprint https://arxiv.org/pdf/2508.04287

This event is sponsored by ProbAI_Hub.

Speaker

Yuga Iguchi

Organisation: University of Lancaster, ProbAI Hub

  • https://www.yugaiguchi.com

Travel and Contact Information

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Frank Adams Room 1
Alan Turing Building
Manchester

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Yoshihito Kazashi

y.kazashi@manchester.ac.uk

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