LMBP-ISM joint workshop

Session

Session: Statistics and AI Applications

25 Oct 2025, 16:00

Amphi Hennequin (Laboratoire de Mathématiques Blaise Pascal )

Conveners

Session: Statistics and AI Applications

• Cécile Durot (Université Paris Nanterre)

Session: Statistics and AI Applications

• Tomoko Matsui (The Institute of Statistical Mathematics (ISM))

17. Unlinked or shuffled monotone regression

Prof. Cécile Durot (Université Paris Nanterre)

25/10/2025, 16:00

In standard regression models, pairs of covariates and response variables are observed. In the more complex case of shuffled regression (on anonymized data), we only observe a sample of covariates on the one hand, and a sample of responses on the other, but we don't know which response corresponds to each covariate. In the even more complex case where responses and covariates are not...

15. COVID-19 Case Prediction Using Emotion Trends via Twitter Emoji Analysis

Prof. Tomoko Matsui (The Institute of Statistical Mathematics (ISM))

25/10/2025, 16:35

The worldwide COVID-19 pandemic, which began in December 2019 and has lasted for almost 3 years now, has undergone many changes and has changed public perceptions and attitudes. Various systems for predicting the progression of the pandemic have been developed to help assess the risk of COVID-19 spreading. In a case study in Japan, we attempt to determine whether the trend of emotions toward...