The paper "From Denoising Diffusions to Denoising Markov Models" authored by Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis and Arnaud Doucet has been accepted for publication in the Journal of the Royal Statistical Society Series B as a prestigious read paper. It will be read before The Royal Statistical Society at the Society's 2023 annual conference held in Harrogate on Wednesday, September 6th, 2023.
What does a statistician do for the England football team?
From squad selection to modelling how footballs behave at altitude, statistician Matt Penn explains how data is helping shape the modern game, and why coaches will always matter more than the numbers.
New evidence suggests vast hidden magma systems inside Mars
Researchers from the Departments of Earth Science and Statistics have found evidence that Mars once hosted enormous, Earth-like magmatic systems deep below its surface – even though the planet lacks the plate tectonics long considered essential for this kind of geological complexity. The findings open up new possibilities for how rocky planets become habitable.
Finding a needle in the genomic haystack: Targeting rare genes using statistical outliers
In statistical modelling, extreme outliers are often written off as 'noise'. But a new study by researchers from Oxford's Department of Statistics and Big Data Institute published this week in The American Journal of Human Genetics reverses that principle, using these outliers as the basis of a targeting system for locating rare, high-impact genetic mutations.