Sébastien Gadat
About
Sébastien Gadat has authored 35 papers that have received a total of 343 indexed citations.
This includes 12 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. The topics of these papers are Statistical Methods and Inference (10 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic processes and financial applications (5 papers). Sébastien Gadat is often cited by papers focused on Statistical Methods and Inference (10 papers), Sparse and Compressive Sensing Techniques (6 papers) and Stochastic processes and financial applications (5 papers) and collaborates with scholars based in France, United States and Belgium. Sébastien Gadat's co-authors include Salvatore Valitutti, Jéremie Bigot, Fabien Panloup, Sabina Müller and Loı̈c Dupré and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and The Annals of Statistics
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