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  1. Adapting local minimax theory to modern applications

    Ruan, Feng
    [Stanford, California] : [Stanford University], 2019.

    Maximum likelihood estimation (MLE) is influential because it can be easily applied to generate optimal, statistically efficient procedures for broad classes of estimation problems. Nonetheless, the theory does not apply to modern settings—such as problems with computational, communication, or privacy considerations—where our estimators have resource constraints. The thesis will introduce a modern maximum likelihood theory (through generalization of local minimax theory) that addresses these issues, focusing specifically on procedures that must be computationally efficient or privacy-preserving. To do so, I first derive analogues of Fisher information for these applications, which allows a precise characterization of tradeoffs between statistical efficiency, privacy, and computation. To complete the development, I also describe a recipe that generates optimal statistical procedures (analogues of the MLE) in the new settings, showing how to achieve the new Fisher information lower bounds.

  2. Adapting to unknown noise distribution in matrix denoising : y Andrea Montanari, Feng Ruan, Jun Yan.

    Montanari, Andrea
    Stanford, Calif. : Department of Statistics, Stanford University, December 2018.

    Online statistics.stanford.edu

  3. China satellite navigation conference (CSNC) 2012 Proceedings : the 3rd China Satellite Navigation Conference (CSNC 2012), Guangzhou, China, May 15-19, 2012, revised selected papers

    Berlin ; New York : Springer, ©2012.

    Proceedings of the 3rd China Satellite Navigation Conference (CSNC2012) presents selected research papers from CSNC2012, held on 15-19 May in Guanzhou, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou system especially. They are divided into 9 topics to match the corresponding sessions in CSNC2012, which broadly covered key topics in GNSS. Readers can learn about the BeiDou system and keep abreast of the latest advances in GNSS techniques and applications. SUN Jiadong is the Chief Designer of the Compass/BeiDou system, and the Academician of Chinese Academy of Sciences; LIU Jingnan is a professor at Wuhan University, and the Academician of Chinese Academy of Engineering; YANG Yuanxi is a professor at China National Administration of GNSS and Applications, and the Academician of Chinese Academy of Sciences; FAN Shiwei öis a researcher on satellite navigation.

    Online SpringerLink

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