From the Desk Of: Tati Howell
Preview of a Special IMS Lecture Didong Li is a fifth-year graduate student in the Department of Mathematics at Duke University, supervised by David B. Dunson and Sayan Mukherjee. His research focuses on bridging between statistics and differential geometry to develop fundamentally new algorithms, statistical methods and theory. In particular,

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To promote the dissemination of statistical innovation, the Emanuel and Carol Parzen Prize for Statistical Innovation is awarded in even- numbered years to a North American statistician whose outstanding research contributions include innovations that have had impact on practice and whose PhD degree is at least 25 years old. The…

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We pose a classic problem, variously known as the taxicab problem or the German tank problem (named after its historical application, by Allied forces in World War II, to the estimation of the monthly rate of German tank production from very few data). We have a finite population $\mathcal{X}$ with…

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Contributing Editor Anirban DasGupta writes on the previous problem, which was about phase transitions: If the common probability that each observer tells the truth on any given instance is $p$, and if there are $m$ such observers, and if there are $n$ options (colors) to choose from, then by…

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We are pleased to announce the following members have been selected to receive the 2019 IMS Lawrence D. Brown PhD Student Award: Yuqi Gu is a PhD student in the Department of Statistics at the University of Michigan; Didong Li is in the Department of Mathematics at Duke University; and…

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