# Leeds Statistics and Probability Seminar

This seminar presents the statistics research group from the University of Leeds PGRs’ research and academic interests in a professional but informal setting; everyone (from undergrads to professors) is welcome to drop by and listen to the presentations.

For any more details feel free to contact the organisers:

- Anna Sigalou—mmasi[at]leeds.ac.uk
- Luis Chaparro—mmlmcj[at]leeds.ac.uk
- Rukia Nuermaimaiti—(Organizer until Term 2 2022-23)

## Calendars for each term

## Calendars by date creation

# Leeds Statistics & Probability PGR Seminar Term 2 2023-24

This is Term 2 2023-24, so all the dates below correspond to the year 2024
Copyright disclaimer: The titles and abstracts of the talks are the property of the speakers and their colaborators.
February 28th Comparing two functional principal component models by Sonia Dembowska
Evolution of social decision-making by Anna Sigalou
March 13th A short introduction to stochastic calculus by Yukun Cao
Abstract: As we dive into the world of randomness, a precise way to integrate with respect to a stochastic process is needed.
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# Leeds Statistics & Probability PGR Seminar Term 1 2023-24

This is Term 1 2023-24, so all the dates below correspond to the year 2023
Copyright disclaimer: The titles and abstracts of the talks are the property of the speakers and their colaborators.
18th October Euler-Maruyama scheme for SDEs with distributional drifts: linear and McKean-Vlasov Luis Mario Chaparro JĂˇquez
We present an Euler scheme developed to solve SDEs with distributional drifts belonging to a HĂ¶lder-Zygmund space and unit diffusion driven by a standard Brownian motion.
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# Leeds Stats PGR Seminar 2022-23 Term 2

This is Term 2 2022-23, so all the dates below correspond to the year 2023
Copyright disclaimer: The titles and abstracts of the talks are the property of the speakers and their colaborators.
February 10th Regression Analysis for Directional Data Norah Almasoud
In this project, the aim is to build a regression model to predict the effect of linear explanatory variables on a circular response variable. Circular regressions are classified into two groups based on the data type.
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# Leeds Stats PGR Seminar 2022-23 Term 1

This is Term 1 2022-23, so all the dates below correspond to the year 2022.
Copyright disclaimer: The titles and abstracts of the talks are the property of the speakers and their colaborators.
October 14th An Euler-Maruyama scheme for SDEs with distributional drift Luis Mario Chaparro Jaquez
The Euler-Maruyama scheme is a widely used numerical method to compute approximations of the solutions to SDEs. When the coefficients have sufficient regularity the strong convergence rate is known to be $1/2$.
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