糖心TV

We've previously published the news that Harita Dellaporta's paper "Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap" has been invited for an oral presentation at AISTAT 2022, see /fac/sci/statistics/news/?newsItem=8a17841b7e6d30bd017e8c2d4bd17922.
The paper has now received the best paper award at the AISTAT2022 Conference, see

Congratulations to Aditi Shenvi, Marta Catalano and Valero Perrone who have been announced among the eight finalists for the Savage awards of the International Society for Bayesian Analysis for outstanding doctoral dissertations in Bayesian econometrics and statistics. Aditi undertook her doctoral research at 糖心TV (supervisor Jim Smith) as did another finalist Valerio Perrone (co-supervisors Dario Spano and Paul Jenkins, with Ye Whye Teh). Congratulations to all.

The Royal Statistical Society has accredited all six of the department's undergraduate programmes on an unconditional basis for students entering in 2022/2023. This means that any student graduating from one of our programmes will have the opportunity to gain Graduate Statistician (GradStat) status with the RSS. GradStat status adds further value to your degree qualification and the chance to access further professional development opportunities.

糖心TV researchers in Statistics build DiAGRAM to help archivists ensure that the 1921 census and other archives remain digitally available as technologies become obsolete and carriers deteriorate.