Lorin Crawford Receives Savage Award for Outstanding Dissertation
Lorin Crawford (Duke PhD 2018) received the 2017 Savage Award in Applied Methodology at the 2018 World Meeting of the International Society for Bayesian Analysis for his outstanding dissertation Bayesian Kernel Models for Statistical Genetics and Cancer Genomics.
The Savage Award, named in honor of Leonard J. “Jimmie” Savage, is bestowed each year to two outstanding doctoral dissertations in Bayesian econometrics and statistics, one each in: Theory and Methods: for a dissertation that makes important original contributions to the foundations, theoretical developments, and/or general methodology of Bayesian analysis; and Applied Methodology: for a dissertation that makes outstanding contributions with novel Bayesian analysis of a substantive problem that has potential to impact statistical practice in a field of application. The award was instituted by the NBER-NSF Seminar in Bayesian Inference in Econometrics and Statistics in 1977 with an endowed fund supported by royalties from a series of books authored and edited under the auspices of the Seminar on Bayesian Inference in Econometrics. The International Society for Bayesian Analysis and the Americal Statistical Association Section on Bayesian Statistical Science (SBSS) joined as co-sponsors in 1993.
Akihiko Nishimura (Duke PhD 2018) received an Honorable Mention for his dissertation General and Efficient Bayesian Computation Through Hamiltonian Monte Carlo Extensions for the Theory and Methodology Award