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  1. Séminaire MODAL'X : Carlo Gaetan (Università Ca' Foscari, Venezia, Italia)

    models were too rigid to capture the situation where more severe events tend to be more spatially and and temporally localized. Recently in order to cope with this situation the literature has focused on different Inference from the observed data is difficult due to a high-dimensional censoring scheme and we propose

    • Type : Actualité
    • - Mis à jour le 05/12/23
  2. Séminaire MODAL'X : Cristina Olimpia Chavez Chong (Université Paris Nanterre)

    multicollinearity context. We use Ridge regularization to bypass the collinearity issue. We present new estimation parameter. A spatial cross-validation procedure is used to tune the regularization parameter. In fact ordinary ordinary cross-validation techniques are not applicable to spatially dependent observations. Variable importance simulated synthetic data. Finally we apply our method to a real dataset and evaluate the impact of some socio-economic

    • Type : Actualité
    • - Mis à jour le 10/06/24
  3. Séminaire Observatoire de l'Aire Britannique: Pat Thane, "Divided Kingdom"

    ouvrage Divided Kingdom A History of Britain 1900 to the Present Cambridge UP 2018. Discutante Florence

    • Type : Actualité
    • - Mis à jour le 14/09/23
  4. AMY SPENCER, Bath Spa University

    pervasive computing platforms which respond to the presence of a reader to deliver story. Such literary experiences works of ambient literature from established writers to understand the form the experiences of its readers literary form through movement as they are asked to simultaneously navigate both a physical and imaginative

    • Type : Actualité
    • - Mis à jour le 14/10/20
  5. Conférence "Nonstationarity and Statistics for EEG"

    Résumé The purpose of the conference is to gather scientists from different fields statistics time series

    • Type : Actualité
    • - Mis à jour le 27/06/25
  6. Séminaire MODAL'X : Adeline Fermanian (LPSM, Sorbonne Université)

    problem. In order to combine signatures with machine learning algorithms it is necessary to truncate these rooted in rough path theory. Its basic principle is to represent multidimensional paths by a graded feature advantage of a signature-based regression model compared to traditional functional models when the data is highly

    • Type : Actualité
    • - Mis à jour le 17/05/21
  7. Dislocating the Orient: British Maps and the Making of the Middle East, 1854-1921

    Middle East dissolves as maps are shown to emerge from and to serve different constituencies each with present. There remains plenty to worry about but he shows us how we have come to be where we are today. Keith their colonial activities however the British began to conceive of the Middle East as a separate and distinct part of the world with consequences that continue to be felt today. As they reimagined boundaries the wide variety of primary texts and historical maps to show how the idea of the Middle East came into being

    • Type : Article
    • - Mis à jour le 18/04/17
  8. colloque international / Reimmaginare i Mobility Studies in prospettiva culturale

    concept based methodology to study travelling concepts in the Humanities to propose a mobility-based methodology The temporal frame extends from antiquity to the present and to possible futures. The mobility of people angles that help not only to explore the meanings of movement but also to reimagine mobility studies contributions that a humanistic perspective can bring to the well-established field of mobility studies. First exploration of the experience of mobility in addition to the factual movement of people objects and ideas

    • Type : Actualité
    • - Mis à jour le 06/11/20
  9. ED 396 inscription en 2019-2020

    What do you want to do New mailCopy

    • Type : Document
    • - Mis à jour le 05/05/20
  10. Séminaire MODAL'X : Camille Frévent (Université de Lille)

    data. The first part will introduce a novel approach to spatial cluster detection of functional data. This adverse health effects of pollutants it is crucial to identify and locate environmental black spots. Three simulation study. These statistics were then applied to detect environmental black spots in northern France Moving onto the second part of the talk a new approach to the autoregressive spatial functional model will series of its iterated integrals and can be applied to a wide range of processes. The estimation problem

    • Type : Actualité
    • - Mis à jour le 07/01/24