Sara van de Geer
About
Sara van de Geer has authored 75 papers that have received a total of 4.7k indexed citations.
This includes 60 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 17 papers in Computational Mechanics. The topics of these papers are Statistical Methods and Inference (56 papers), Sparse and Compressive Sensing Techniques (16 papers) and Bayesian Methods and Mixture Models (16 papers). Sara van de Geer is often cited by papers focused on Statistical Methods and Inference (56 papers), Sparse and Compressive Sensing Techniques (16 papers) and Bayesian Methods and Mixture Models (16 papers) and collaborates with scholars based in Switzerland, The Netherlands and United Kingdom. Sara van de Geer's co-authors include Peter Bühlmann, Lukas Meier, Huib van de Stadt, Johannes Lederer and Nicolas Städler and has published in prestigious journals such as IEEE Transactions on Information Theory, The Review of Economics and Statistics and IEEE Transactions on Signal Processing
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