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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models
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interest are not directly observable. These may include, for example, ability, attitudes, well-being, or different dimensions of poverty, which instead must be estimated from observed data. The overall aim
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Swedish, spoken and written good computer skills Meritorious for the position are: demonstrated competence in, or methodological orientation toward, qualitative research methods and theory development
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-dimensional sample covariance matrix. The project's findings will yield improved estimators of high-dimensional quantities by developing new linear and nonlinear shrinkage approaches. In particular, new
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming