6 from 60 Seminar - 30/09/2026

30/09/2026 - 12h50 - D251

Jing Su

will present

2000s: Wednesday, 30 September 2026
Marc Fleurbaey and François Maniquet
Fair income tax
In : The Review of Economic Studies, 2006, vol. 73(1), p. 55-83

   

 

LIDAM Statistics Seminar by Jing Zhou

09/10/2026 - 14:30 - ISBA C115 - 
 

Jing Zhou

(University of Manchester) 

Will give a presentation on : 

Dense High-Dimensional Huber Regression under Heteroscedasticity

Abstract: 
We study Huber regression in a heteroscedastic linear model when the number of predictors is comparable to the sample size. We show that the first-order center of the Huber estimator may contain an additional component along the direction governing the conditional scale, and we derive the resulting asymptotic center and normalized risk. A conditional Huber-centering condition is shown to be sufficient for this nuisance-direction component to vanish. The analysis uses matrix approximate message passing to track the regression and scale directions simultaneously. The talk will introduce the statistical mechanism behind the result, explain the connection with classical sandwich variance formulas, and outline how state evolution yields an exact high-dimensional characterization. No prior knowledge of approximate message passing is required.

LIDAM Statistics Seminar by Thomas Jaki

16/10/2026 - 14:30 - ISBA C115 - 
 

Thomas Jaki  

(Cambridge University) 

Will give a presentation on : 

Controlling false decision errors in platform trials

Abstract: 
Platform trials are a new class of clinical study design that allow treatment arms to enter and leave the trial over time and have proven to be particularly popular during the COVID-19 pandemic where no fewer than 58 trials have been registered as a platform trial. A common feature of these designs is the desire to answer several research questions within a single protocol. One of the questions arising from this feature that has generated a lot of discussion in the literature is the need for (or lack of need to) control error rates as well as the most appropriate type of error control.

In this talk I will begin by reflecting on the discussion around error rates and introduce different possible testing strategies that could be considered for platform trials. Throughout this presentation I will highlight areas where further research is necessary to enable platform trials to unleash their full potential.