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A three-year fully-funded PhD position in mathematical statistics starting in september 2020 on change-point detection and/or copula modeling is available in the framework of a collaboration project
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), originally proposed by [2], is part of the most successful statistical methods currently used to handle problems in supervised statistical learning. The popularity of RF can be mainly explained by the fact
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provide point estimate of parameters and predictions. The aim of this thesis is to develop theory and methods by successfully combining ideas from both computational statistics and machine learning, thus
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gain risk index will be developed. Skills: The candidate must have a background in human nutrition. He/she should have a strong background in statistics and multivariate data analysis. Writing skills in
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The University of Luxembourg is looking for its Faculty of Science, Technology and Medicine (FSTM) for a: Post-Doctoral Fellow in Mathematics (Statistics) (m/f) Ref: 50014404 Fixed-term contract 24
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Tremblay en France, le de France | France | about 2 months ago
solely on spectral power. This mathematical approach is inspired by neural networks but here, as the convolution functions are predefined, the statistical descriptors are obtained without any learning step
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ABSTRACT This PhD proposal pertains to the area of mathematical statistics. The aim of the proposed research project is to develop statistical methodology for online change detection in multivariate
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this direction and make links with statistical physics to hopefully gain a profund understanding of these new statistical learning tools. Skills: Mathematics, Probability, Statistics, Statistical learning, R
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Msc Degree in fields related to Computer Science, Machine Learning, or Applied Mathematics/Statistics. She/He should have solid knowledge of data management, algorithms and programming. Knowledge
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involve more conceptual mathematical models and statistical models to analyse data. A central interest of the thesis will be on vaccination, with a focus both on the targeting of key populations and on