LMBP-ISM joint workshop

Speakers List

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

• Julien Bichon (Laboratoire de Mathémariques Blaise Pascal (LMBP))
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    Opening by the LMBP director/ Prof. Julien Bichon

• Cécile Durot (Université Paris Nanterre)
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    Unlinked or shuffled monotone regression

• Yo Fukushima (Tohuku University - IRIDeS)
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    Statistical modeling and machine learning studies on the forecast of earthquakes and fault slip

• Arnaud Guillin (Laboratoire de Mathémariques Blaise Pascal (LMBP))
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    Limit theorems for neural networks modeling

• Ragnar Levi Gudmundarson (Herriot WATT)
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    Assessing Portfolio Diversification via Two-Sample Graph Kernel Inference.

• Tomoko Matsui (The Institute of Statistical Mathematics (ISM))
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    COVID-19 Case Prediction Using Emotion Trends via Twitter Emoji Analysis

• Véronique Maume-Deschamps (Institut Camille Jordan, Université Lyon 1)
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    Goal Oriented random forest

• Daisuke Murakami (The Institute of Statistical Mathematics (ISM))
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    Sub-model aggregation for scalable spatially varying coefficient modeling

• Ryo Nakagawa
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    Estimation of the fault slip of short-term slow slip events from GNSS data using deep learning

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

• Gareth Peters (University of California Santa Barbara)
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    Assessing Portfolio Diversification via Two-Sample Graph Kernel Inference.

• Olivier Roche (Laboratoire Magma et Volcans (LMV) - UCA)
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    Statistical analysis of the runout distance of pyroclastic density currents and implications for emplacement mechanisms

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

• Keisuke Yano (The Institute of Statistical Mathematics (ISM))
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    Minimum information dependence modeling: