Richard Everitt

Tweets about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick. Personal account.

[Richard Everitt @bayesian_stats]

At the University of Birmingham today, speaking to CENTA PhD students about "Understanding Machine Learning and Artificial Intelligence". https://t.co/RfYiVZgdyI

[Jeremias Knoblauch @LauchLab]

📢 Post-Bayesian online seminar series coming!📢

To stay posted, sign up at
https://t.co/Tx3ecXKdC8

We'll discuss cutting-edge methods for posteriors that no longer rely on Bayes Theorem.
(e.g., PAC-Bayes, generalised Bayes, Martingale posteriors, ...)

Pls circulate widely!

[Richard Everitt @bayesian_stats]

@felixwhite @felixwhite Does this mean the end of @TailendersPod? @gregjames 's mission accomplished?

[Approximate Bayes Seminar @approxbayes]

The first talk of Season 6 is next week! On 31st October, 11am GMT, Ullrich Köthe (University of Heidelberg) will talk about "Free-form flows for physics-informed generative modelling". The talk will be on MS teams. Sign up to the list to get the link: https://t.co/QIcmNUXjj3

[Approximate Bayes Seminar @approxbayes]

This is the new account for the One World Approximate Bayesian Inference (ABI) Seminar. Please follow if you are interested in any flavour of approximate Bayesian inference, including simulation-based inference. Website: https://t.co/c69TWVMHRi

[Richard Everitt @bayesian_stats]

The One World Approximate Bayesian Inference (ABI) Seminar is on X. https://t.co/q6R9Me3LRz

[Richard Everitt @bayesian_stats]

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.

[Richard Everitt @bayesian_stats]

@sp_monte_carlo @MaxWasserman1 What he said!

[Peyman Milanfar @docmilanfar]

Do you think you know Maximum Likelihood? Think again

It seems like such a natural idea, but there’s an epic and turbulent history with numerous assaults on the core idea, culminating in a beautiful and complicated theory.

A highly entertaining account:

https://t.co/JZUy1KTzYu

[Warwick Statistics @warwickstats]

Congratulations to David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta (all Warwick Statistics), whose paper "Quasi-Bayes meets Vines" (https://t.co/nUaXpLAhI6) has been accepted for #NeurIPS ! In the paper they model high-dimensional densities with the Quasi-Bayesian Vine.

[Warwick Statistics @warwickstats]

#NeurIPS decisions are out! Congratulations to Jen Ning Lim (Warwick Statistics PhD Student) who has
had a paper on Semi-implicit Variational Inference (preprint:
https://t.co/nXie527hmf) accepted for a spotlight
presentation at NeurIPS 2024.

[Jonathan Pritchard @jkpritch]

Two new chapters from my free online book in human genetics out this weekend!

These complete Part 3 of the book, on human population structure and history:
3.3: Inferring human prehistory from genetic data [this thread]
3.4: Ancient DNA [next thread]
https://t.co/GHMPCTv6BL

[Jonathan Pritchard @jkpritch]

I'm delighted to release the first half of my new open-access online textbook in human population genetics:
https://t.co/GHMPCTv6BL

[Henry Moeran @henrymoeranBBC]

This is absolute art.

The field, the fading light, the celebrations…

[Warwick Statistics @warwickstats]

ERC Starting Grant for Tom Berrett

Tom Berrett has been announced as a recipient of an ERC Starting Grant worth €1.5 million.

Information on Tom's research can be found on his website here: https://t.co/BIWUzDOWMe

[Richard Everitt @bayesian_stats]

@warwickstats Brilliant news!

[Adrien Corenflos @AdrienCorenflos]

Newborn (extended abstract) paper in Bayesian Experimental Design (BED). This specific iteration takes the same approach as in https://t.co/D6z8FsGX8b: formulate sequential planning as an amortized inference procedure, but differs on its computational treatment. 1/7

[Richard Everitt @bayesian_stats]

I made a new website: https://t.co/CVYav6Vw9R It is mainly a Rosetta Stone type site, listing different online profiles (plus some software projects). Hopefully will be useful as social media continues to fragment...

[Samuel Kaski @samikaski]

Last week to apply for machine learning postdoc positions in my team in Manchester or Helsinki