Name: LMBP-ISM joint workshop
Start: 2025-10-24T09:00:00+02:00
End: 2025-10-25T23:00:00+02:00
Location: Laboratoire de Mathématiques Blaise Pascal

LMBP-ISM joint workshop

from Friday 24 October 2025 (09:00) to Saturday 25 October 2025 (23:00)

Monday 20 October 2025
Tuesday 21 October 2025
Wednesday 22 October 2025
Thursday 23 October 2025
Friday 24 October 2025
09:00
09:00 - 10:00
Room: Maison de la Vie Etudiante
Contributions

09:45 Opening by the LMBP director/ Prof. Julien Bichon - Julien Bichon (Laboratoire de Mathémariques Blaise Pascal (LMBP))
10:00
10:00 - 10:50
Room: Amphi Hennequin
Contributions

10:00 Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction - François Septier (Université Bretagne Sud (UBS))
10:50

10:50 - 11:00
Room: Maison de la Vie Etudiante (MVE)
11:00
11:00 - 11:45
Room: Amphi Hennequin
Contributions

11:00 Sub-model aggregation for scalable spatially varying coefficient modeling - Daisuke Murakami (The Institute of Statistical Mathematics (ISM))
11:45
11:45 - 12:30
Room: Amphi Hennequin
Contributions

11:45 Minimum information dependence modeling: - Keisuke Yano (The Institute of Statistical Mathematics (ISM))
12:30

12:30 - 14:30
Room: Maison de la Vie Etudiante
14:30
14:30 - 15:15
Room: Amphi Hennequin
Contributions

14:30 Limit theorems for neural networks modeling - Arnaud Guillin (Laboratoire de Mathémariques Blaise Pascal (LMBP))
15:15
15:15 - 16:00
Room: Amphi Hennequin
Contributions

15:15 Goal Oriented random forest - Véronique Maume-Deschamps (Institut Camille Jordan, Université Lyon 1)
16:00

16:00 - 16:15
Room: Amphi Hennequin
16:15 TBA
TBA
16:15 - 16:45
Room: Amphi Hennequin
Contributions

16:15 Assessing Portfolio Diversification via Two-Sample Graph Kernel Inference. - Ragnar Levi Gudmundarson (Herriot WATT) Gareth W. Peters (University of California Santa Barbara)
20:00

20:00 - 23:00
Room: Amphi Hennequin
Saturday 25 October 2025
10:00
10:00 - 10:50
Room: Amphi Hennequin
Contributions

10:00 Statistical modeling and machine learning studies on the forecast of earthquakes and fault slip - Yo Fukushima (Tohuku University - IRIDeS)
11:00 TBA
TBA
11:00 - 11:30
Room: Amphi Hennequin
Contributions

11:00 Estimation of the fault slip of short-term slow slip events from GNSS data using deep learning - Ryo Nakagawa (Tohuku University - IRIDeS)
11:30 TBA
TBA
11:30 - 11:55
Room: Amphi Hennequin
Contributions

11:30 Creep characteristics along the central part of the Philippines Fault on Leyte Island from ALOS-2 time-series analysis - Yagizalp Okur (Laboratoire de Mathémariques Blaise Pascal (LMBP) and IRIDeS)
12:00

12:00 - 13:55
Room: Amphi Hennequin
14:15
14:15 - 15:00
Room: Amphi Hennequin
Contributions

14:15 Statistical analysis of the runout distance of pyroclastic density currents and implications for emplacement mechanisms - Olivier Roche (Laboratoire Magma et Volcans (LMV) - UCA)
15:00
15:00 - 15:45
Room: Amphi Hennequin
Contributions

15:00 Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis - Nourddine Azzaoui (Laboratoire de Mathématique Blaise Pascal - UCA)
15:45

15:45 - 16:00
Room: Amphi Hennequin
16:00
16:00 - 16:35
Room: Amphi Hennequin
Contributions

16:00 Unlinked or shuffled monotone regression - Cécile Durot (Université Paris Nanterre)
16:35
16:35 - 17:15
Room: Amphi Hennequin
Contributions

16:35 COVID-19 Case Prediction Using Emotion Trends via Twitter Emoji Analysis - Tomoko Matsui (The Institute of Statistical Mathematics (ISM))
20:00

20:00 - 23:00
Room: Amphi Hennequin

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