Philippe Rigollet
About
Philippe Rigollet has authored 46 papers that have received a total of 1.3k indexed citations.
This includes 30 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 13 papers in Management Science and Operations Research. The topics of these papers are Statistical Methods and Inference (19 papers), Sparse and Compressive Sensing Techniques (8 papers) and Markov Chains and Monte Carlo Methods (8 papers). Philippe Rigollet is often cited by papers focused on Statistical Methods and Inference (19 papers), Sparse and Compressive Sensing Techniques (8 papers) and Markov Chains and Monte Carlo Methods (8 papers) and collaborates with scholars based in United States, France and Singapore. Philippe Rigollet's co-authors include Vianney Perchet, Jonathan Weed, Jan-Christian Hütter, Afonso S. Bandeira and Alexandre B. Tsybakov and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Annals of Statistics.
In The Last Decade
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