Dennis Prangle
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dennisprangle.bsky.social
Dennis Prangle
@dennisprangle.bsky.social
Approximate Bayesian at Bristol University
Pinned
Hello bluesky 🦋 - overdue intro post. I'm a statistician at Bristol University doing approx Bayes methods like SBI and variational influence for things like population genetics 🧬 and stochastic kinetic models. Happy to chat about scaling these methods to harder models/bigger data/real applications.
The Zen of Reviewer 2
This viral ICLR review has some very fun excerpts. I look forward to wheeling out "In the current impetuous and intricate society, if one aspires to be a scholar, it is imperative to attain inner calm" after writing the world's most demanding review.
November 15, 2025 at 1:31 PM
New paper: arxiv.org/abs/2511.06351. We compare different MCMC kernels for ABC-SMC, and recommend a one- hit kernel with mixture proposal. (Repost with corrected link!)
A Comparison of Kernels for ABC-SMC
A popular method for likelihood-free inference is approximate Bayesian computation sequential Monte Carlo (ABC-SMC) algorithms. These approximate the posterior using a population of particles, which a...
arxiv.org
November 11, 2025 at 11:01 AM
Reposted by Dennis Prangle
The 1st OWABI talk of the Season will be given by François-Xavier Briol (University College London). who will talk about "Multilevel neural simulation-based inference".
Multilevel neural simulation-based inference
Neural simulation-based inference (SBI) is a popular set of methods for Bayesian inference when models are only available in the form of a simulator. These methods are widely used in the sciences...
arxiv.org
October 27, 2025 at 12:06 PM
Reposted by Dennis Prangle
Some fun news: We're hiring!

Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol.

Closing date 13 October 2025; link below!

www.bristol.ac.uk/jobs/find/de...
September 22, 2025 at 1:28 PM
Reposted by Dennis Prangle
Join us online for a discussion on
“Statistical exploration of the Manifold Hypothesis” and an opportunity to explore the intersection of geometry, statistics and machine learning.

📅 Wed 08 Oct | 🕓 4–6pm UK
🔗 Register + download the paper: rss.org.uk/training-eve...
September 9, 2025 at 9:07 AM
Feels like conference attendees are getting younger
August 26, 2025 at 1:48 PM
Conference travel, morning to evening
August 24, 2025 at 2:48 PM
Reposted by Dennis Prangle
📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]
August 12, 2025 at 11:46 AM
Reposted by Dennis Prangle
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 2:28 PM
Paper on normalizing flow transformations for heavy tails 🦕 arxiv.org/abs/2406.16971 My co-author Tennessee Hickling will be presenting the poster at ICML icml.cc/virtual/2025...
arxiv.org
June 23, 2025 at 1:28 PM
Reposted by Dennis Prangle
The next OWABI Seminar will take place during BayesComp 2025 in Singapore, on Thursday 19 June at 8pm Singapore time (1pm in Tórshavn). Speakers are: Filippo Pagani and Maurizio Filippone. Link to join: monash.zoom.us/j/810...
Meeting ID: 810 5099 4376
Passcode: 137607
Join our Cloud HD Video Meeting
Zoom is the leader in modern enterprise cloud communications.
monash.zoom.us
June 11, 2025 at 3:05 PM
Reposted by Dennis Prangle
The next OWABI seminar is quickly approaching, with two talks live from BioInference 2025 (bioinference.github....) on 29th May,10am UK time. Speakers: Andrew Golightly, Henrik Häggström. Links to the mailing list, to receive the Teams link to the talks, can be found on warwick.ac.uk/fac/sc...

2025 Conference - BioInference
The 2025 BioInference Conference
bioinference.github.io
May 27, 2025 at 1:00 PM
When your analysis uses a very strong prior
May 1, 2025 at 8:04 AM
Reposted by Dennis Prangle
The Scientific Committee welcomes proposals for Invited Sessions for the 2026 #ISBA World Meeting. Please submit proposals using this form: forms.gle/5G3xJWJaaE6Q...

Proposals will be accepted until 11:59pm (anywhere on Earth) on 6 July 2025.

Also see the conf. site: isba2026.github.io
ISBA 2026: Call for Invited Sessions & Panel Discussions
The Scientific Committee invites the submission of proposals for Invited Sessions & Panel Discussions for the 2026 ISBA World Meeting, to be held in Nagoya, Japan from 28 June to 3 July, 2026. Invited...
forms.gle
April 22, 2025 at 2:30 PM
Reposted by Dennis Prangle
Scientists on Bluesky, here's one of the best feeds I've found here:

Paper Skygest - a feed of posts containing research papers shared by people you follow.
April 12, 2025 at 10:14 PM
Reposted by Dennis Prangle
The next OWABI seminar www.warwick.ac.uk/owabi is quickly approaching, being scheduled on Thursday the 27th March at 11am UK time. Our next speaker is Meïli Baragatti (Université de Montpellier), who will talk about "Approximate Bayesian Computation with Deep Learning and Conformal Prediction".
March 21, 2025 at 10:57 AM
Reposted by Dennis Prangle
I will be one of the supervisors on this. Please pass on to any UK students who may be interested.
PhD opportunity: 'Unravelling the sound underground: Detecting and estimating earthworm abundance using low-frequency vibrations'. This project uses signal processing, modelling, and data science to analyse earthworm movements measured from soil geophones, an emerging technology with much potential.
March 14, 2025 at 1:46 PM
Reposted by Dennis Prangle
JOB OPENING at University of Bristol:
-- Lecturer in Statistics or Machine Learning
-- (x 2 positions available)
-- application deadline: 31 March, 2025

Details at www.bristol.ac.uk/jobs/find/de...

Come join us!
March 5, 2025 at 3:01 PM
Reposted by Dennis Prangle
Our next OWABI talk will be given by Meïli Baragatti (Assistant Professor Institut Agro Montpellier) on Approximate Bayesian Computation with Deep Learning and Conformal prediction on Thursday the 27th March 2025. More info will follow.
February 25, 2025 at 10:05 AM
Reposted by Dennis Prangle
Our next talk will be on Thursday the 27th February at 11am UK time. Our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference". To receive the link, sign up here: listserv.csv.warwick...
February 14, 2025 at 10:41 AM
Reposted by Dennis Prangle
The deadline for abstract submission of contributed papers and posters for BayesComp2025 has been extended to 28 February. Decisions by 14 March. Submit here! bayescomp2025.sg/abstract-sub...
The deadline for early bird registration has been extended to March 22. Hope to see you in Singapore!
Bayes Comp 2025
bayescomp2025.sg
February 13, 2025 at 8:24 PM
Reposted by Dennis Prangle
Come and work with us! "Senior Lecturer or Reader in Computational Statistics ... biomedical data analysis, computational statistics and machine learning, foundations of data science and AI, high-dimensional data analysis, and uncertainty quantification."

www.jobs.manchester.ac.uk/Job/JobDetai...
Senior Lecturer or Reader in Computational Statistics (Teaching & Research) :Oxford Road
www.jobs.manchester.ac.uk
February 7, 2025 at 4:55 PM
Reposted by Dennis Prangle
The Isaac Newton Institute at Cambridge is hosting a workshop on Accelerating Statistical Inference and Experimental Design with Machine Learning June 23 - 27. It includes tutorials on #Bayesian inference, DoE, and diffusion models.

More details at the website:

www.newton.ac.uk/event/rclw03/
Accelerating statistical inference and experimental design with machine learning - Isaac Newton Institute
This workshop focuses on leveraging modern machine learning to accelerate statistical inference, experimental design, and scientific discovery. It features...
www.newton.ac.uk
January 21, 2025 at 3:25 PM
Hello bluesky 🦋 - overdue intro post. I'm a statistician at Bristol University doing approx Bayes methods like SBI and variational influence for things like population genetics 🧬 and stochastic kinetic models. Happy to chat about scaling these methods to harder models/bigger data/real applications.
December 10, 2024 at 12:49 PM
Invitation to review a revised paper I assumed wasn't coming back just days after I recycled my printout and written notes on the previous version. Maybe I should never tidy my office.
November 27, 2024 at 11:43 AM