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Richard Everitt @bayesianstats.bsky.social · 28/08/2026

One year Tutor position in Warwick Stats. Closing deadline: 6th September. warwick-careers.tal....

Richard Everitt @bayesianstats.bsky.social · 07/08/2026

Two year Teaching Fellow post at Warwick Stats. CLOSING DEADLINE: Monday 17 August 2026 at 11:55pm (UK Time). warwick-careers.tal....

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Richard Everitt @bayesianstats.bsky.social · 30/06/2026

New paper with Jia Le Tan (who is at ISBA!) and Nicola Walker. We tried out Pareto smoothing weight-adjustment in SMC, but found there were only minimal benefits since the variance reduction through using a sequence of targets dominates the impact of the adjustment. arxiv.org/abs...

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Richard Everitt @bayesianstats.bsky.social · 11/06/2026

Warwick Statistics is recruiting a Tutor. This is a one year fixed-term role for the academic year 26-27. Closing Deadline: Thursday 9th July 2026 at 11:55pm (UK Time) warwick-careers.tal....

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Richard Everitt @bayesianstats.bsky.social · 01/06/2026

Alongside our paper "Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model", Ian Roberts released the R package StructCoalescent. You can install it using the command devtools::install_github("IanPRoberts/StructCoalescent") github.com/IanPRober...

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Richard Everitt @bayesianstats.bsky.social · 18/05/2026

To go along with our paper "Bayesian inference of reproduction number from epidemiological and genetic data using particle MCMC", Alicia Gill released an accompanying R package, EpiSky. You can install it using devtools::install_github("alicia-gill/EpiSky") github.com/alicia-gi...

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Richard Everitt @bayesianstats.bsky.social · 04/05/2026

To go with our Bayesian Analysis paper "Speeding up Inference of Homologous Recombination in Bacteria", we made a version of the ClonalOrigin package that is callable from R, and which contains the improved RJMCMC method for inference. You can find it at github.com/richardge...

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Richard Everitt @bayesianstats.bsky.social · 21/04/2026

We are currently advertising for two Teaching Fellows and four Tutors in the Department of Statistics. Deadline on Thursday 23rd April. www.jobs.ac.uk/job/D... www.jobs.ac.uk/job/D...

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Richard Everitt @bayesianstats.bsky.social · 20/04/2026

Felipe Medina Aguayo, Xavier Didelot and I had our work on "Speeding up Inference of Homologous Recombination in Bacteria" published in Bayesian Analysis. We use new parallel annealing-based reversible jump MCMC to obtain more accurate inference for the ClonalOrigin model. projecteuclid.org/jo...

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Richard Everitt @bayesianstats.bsky.social · 27/03/2026

We still have a few places at our CRiSM and LMS workshop at Warwick on 16-17th April on "Environmental Modelling meets Infectious Diseases", exploring the links between these two fields. The schedule is now finalised and available on the website go.warwick.ac... Visit the website to register.

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Richard Everitt @bayesianstats.bsky.social · 23/03/2026

Leonardo Ripoli and I arxived the paper "Sequential Monte Carlo with active subspaces". Within an SMC sampler we adaptively identify directions in which the likelihood is not informative, and use this to improve MCMC efficiency at each iteration of the SMC. arxiv.org/abs/2411.0...

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Richard Everitt @bayesianstats.bsky.social · 09/03/2026

Last year Leonardo Ripoli and I archived the paper "Improved MCMC with active subspaces". We identify directions in the parameter space in which the likelihood is not informative, and explore ways of making MCMC more efficient by focussing on the directions where it is. arxiv.org/abs/2501.0...

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Richard Everitt @bayesianstats.bsky.social · 23/02/2026

In July Shu Huang (with me, Massi Tamborrino and Adam Johansen) posted a paper "Inference for Diffusion Processes via Controlled Sequential Monte Carlo and Splitting Schemes". arxiv.org/abs/2507.1...

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Richard Everitt @bayesianstats.bsky.social · 09/02/2026

Ian Roberts published his first paper "Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model" with me, Jere Koskela and Xavier Didelot. We describe an efficient reversible jump MCMC method for inference for the structured coalescent. journals.plos.org/pl...

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Richard Everitt @bayesianstats.bsky.social · 26/01/2026

"Annealing Strategies for Variance Reduction in Balance Heuristic Estimators" by Felipe Medina Aguayo and I is accepted in Stats and Computing. Multiple importance sampling uses multiple proposals to reduce variance. We use annealing to significantly further reduce variance. rdcu.be/eqe8j

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Richard Everitt @bayesianstats.bsky.social · 15/01/2026

Today is the deadline for contributed talks and posters for our event on Environmental Modelling meets Infectious Diseases. Early-career researchers successful in their application to give a talk will be funded up to £200 for their travel costs. go.warwick.ac.uk/env...

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Richard Everitt @bayesianstats.bsky.social · 12/01/2026

Shreya Sinha Roy's first paper (joint with me, Christian Robert and Rito Dutta) is on "Generalized Bayesian deep reinforcement learning". We use a neural network as a model in Bayesian reinforcement learning, trained using a generalized prequential scoring rule with SMC arxiv.org/abs/2412.1...

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Richard Everitt @bayesianstats.bsky.social · 19/12/2025

*Environmental Modelling meets Infectious Diseases: from Mathematics to Applications* Upcoming workshop in Warwick Stats, supported CRiSM, LMS and RSS. We aim to promote the transfer of ideas between the environmental modelling and infectious disease modelling communities. go.warwick.ac...

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Richard Everitt @bayesianstats.bsky.social · 15/12/2025

New paper accepted in JRSSC with Alicia Gill, Jere Koskela and Xavier Didelot on "Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC". We supplement case data with a dated phylogeny inferred from sequence data arxiv.org/pdf/2311.0...

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Richard Everitt @bayesianstats.bsky.social · 08/12/2025

New paper from Shreya Sinha Roy, me, Christian Robert and Rito Dutta on "Prequential posteriors". We use a a predictive-sequential loss function to fit deep generative forecasting models for the purpose of data assimilation, with waste-free SMC for fitting the neural network arxiv.org/abs/2511.1...

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Richard Everitt @bayesianstats.bsky.social · 11/08/2025

I'm very much looking forward to speaking at the upcoming workshop on MCMC at Newcastle. Details here: sites.google.com/vie... I will speak about MCMC with active subspaces arxiv.org/abs/2501.0...

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Richard Everitt @bayesianstats.bsky.social · 01/04/2025

I will be a supervisor for an upcoming PhD! (with Kirsty Hassall and Jacqueline Stroud) The opportunity is an EPSRC DLA Interdisciplinary Scholarship: "Unravelling the sound underground: Detecting and estimating earthworm abundance using low-frequency vibrations". warwick.ac.uk/fac/sc...

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Richard Everitt @bayesianstats.bsky.social · 07/01/2025

Two interesting upcoming events: Data-Centric Engineering at Cambridge on 15th Jan sites.google.com/vie... and the 1st International Workshop on Bayesian Approach in Civil Engineering in Hong Kong events.polyu.edu.hk/...

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Richard Everitt @bayesianstats.bsky.social · 25/11/2024

At the University of Birmingham today, speaking to CENTA PhD students about "Understanding Machine Learning and Artificial Intelligence". centa.ac.uk

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Richard Everitt @bayesianstats.bsky.social · 18/10/2024

Three of my PhD students have their viva in the next 18 days. "Go well" to all of them. I'll try to post a few things about their work in the next few weeks.

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Richard Everitt @bayesianstats.bsky.social · 20/08/2024

Since the ggsmc plotting functions are just wrappers about ggplot2, it is easy to change the style or add to the plot (here, a line showing the true target position). Here we also automatically generate a title for the figure. 3/3

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Richard Everitt @bayesianstats.bsky.social · 20/08/2024

This figure shows the output from a particle filter, filtering on a univariate state using a constant velocity model in a target tracking application. 2/3

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Richard Everitt @bayesianstats.bsky.social · 20/08/2024

More on ggsmc... The "genealogy" function visualises the particle representation of an SMC or ensemble Kalman algorithm over the iterations of the algorithm. This figure shows the output of an SMC sampler with annealing with a mixture target distribution. 1/3

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Richard Everitt @bayesianstats.bsky.social · 19/08/2024

In this thread are some examples of figures generated using my new R package ggsmc. Each figure shows output from one target in a particle filter. To begin we have a histogram. 1/4

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