Skip to main content Skip to navigation


SPAAM Seminar Series 2019/20

For information on current updated seminar talks, visit the Statistics, Probability, Analysis and Applied Mathematics (SPAAM) seminar series websiteLink opens in a new windowLink opens in a new windowLink opens in a new windowLink opens in a new window.

Organised by the Warwick SIAM-IMA Student ChapterLink opens in a new window
Committee members: Hanson Bharth, Connah Johnson, Jaromir Sant and Jack Thomas

Term 3:

In light of the coronavirus outbreak, we are following university adviceLink opens in a new window and suspending all SPAAM talks for term 3. If and when we learn more, we will be in touch.

- Last updated: 17 March 20

Term 2: Tuesdays 2-3pm, B3.01

Dr. Alice Corbella | Towards automatic Zig Zag sapling and its use for epidemic inference

Abstract: Zig-Zag sampling, introduced by Bierkens et al. 2019, is based on the simulation of a piecewise deterministic Markov process (PDMP) whose switching rate $\lambda(t)$ is governed by the derivative of the log-target density. To our knowledge, Zig-Zag sampling has been used mainly on simple targets for which derivatives can be computed manually in a reasonable time.

To expand the applicability of this method, we incorporate Automatic Differentiation (AD) tools in the Zig-Zag algorithm, computing $ \lambda(t) $ automatically from the functional form of the log-target density. Moreover, to allow the simulation of the PDMP via thinning, we use standard optimization routines to find a local upper bound for the rate.

We present several implementations of our automatic Zig-Zag sampling and we measure the potential loss in computational time caused by AD and optimization routines. Among the examples, we consider the case of data arising from an epidemic which can be approximated by a deterministic system of equations; here manual derivation of the posterior density is practically infeasible due to the recursive relationships contained the likelihood function. Automatic Zig-Zag sampling successfully explores the parameter space and samples efficiently from the posterior distribution.

(Joint work with Gareth O. Roberts and Simon E. F. Spencer)

Term 1: Tuesdays 3-4pm, MS.03

Phil Herbert | MASDOC | The membrane mediated force on point attachments with application to a near spherical biomembrane

Abstract: We consider a hybrid model of a biomembrane with attached particles. The membrane is represented by a near spherical continuous surface, attached proteins are described by rigid bodies which are free to move tangentially and rotate in the axis normal to a reference point. As the standard energy for a membrane is highly non-linear, we consider a quadratic energy which may be shown to be an approximation of the Canham-Helfrich energy with a volume constraint and the deformations due to the attached proteins are imposed by point Dirichlet constraints. We show differentiability of the membrane energy with respect to parameterisation of these embedded particles and provide illustrative numerical examples.

Dom Brockington | MASDOC | Sticky Flows and KPZ Universality

Abstract: We shall introduce stochastic flows, and stochastic flows of kernels, before moving to the special case of sticky flows and their fluctuations. On the large deviation scale these fluctuations turn out to be Tracey-Widom GUE distributed, thus the sticky flows lie in the KPZ universality class.

We're happy to announce and formally invite everyone to the SPAAM seminar series, a new forum where Maths & Stats PhD students as well as early researchers can present and discuss their work. The series is being organised by the SIAM Student Chapter here at Warwick.

Tea & Coffee? Yes – afterwards in the Maths common room

The seminar series aims to bring together CDT streams as well as straight PhD students across Mathematics and Statistics.

If you're interested in giving a talk, please let us know!