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2021 IEEE Jack S. Kilby Signal Processing Medal for Emmanuel Candès The IEEE Board of Directors has selected Professor Candès along with his colleagues Terence Tao at UCLA and Justin Romberg at the Georgia Institute of Technology as co-recipients of this award in recognition of outstanding achievements in signal processing.
P. Sur. The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression . Annals of Statistics . 2020. P. Sur. E. J. Candès. A modern maximum-likelihood theory for high-dimensional logistic regression . Proceedings of the National Academy of Sciences . 2019.
Emmanuel Candès Principal investigator, Math & Statistics Alice Cortinovis Postdoc BSc and MSc, Mathematics, University of Pisa. PhD, Mathematics, EPFL. Alice ...
Candès se licenció en Ciencias e Ingeniería en la Escuela Politécnica de París en 1993 y obtuvo su doctorado en Estadística en la Universidad de Stanford en 1998. [2] [3] Fue profesor de Matemáticas Aplicadas y Computacionales, y catedrático Ronald and Maxine Linde en el Instituto de Tecnología de California.
Pragya Sur, Yuxin Chen, Emmanuel J. Candès: The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR abs/1706.01191 (2017)
Emmanuel Candès (Fellow, IEEE) received the Ph.D. degree in statistics from Stanford University, in 1998. He is the Barnum-Simons Chair in mathematics and statistics with Stanford University, and a Professor in electrical engineering (by courtesy).
11 de oct. de 2017 · Emmanuel Candès is a mathematician and statistician known for developing a unified framework for addressing a range of problems in engineering and computer science, most notably compressed sensing. Compressed sensing is a technique for efficiently reconstructing or acquiring signals that make up sounds and images.
