Yili Hong Receives Young Statisticians in Business and Industry (y-BIS) Award

Vijay Nair, ISBIS President

Yili Hong

Yili Hong

Yili Hong, assistant professor of statistics at Virginia Tech, received the Young Business and Industrial Statisticians (y-BIS) best paper award on June 20, 2012, during the closing ceremony of the International Society for Business and Industrial Statistics (ISBIS) conference in Bangkok, Thailand. Hong received a $1,000 prize for his paper, titled “A Special Non-Homogeneous Poisson Process Estimation for Window-Observation Repairable Systems.” The award is sponsored by the American Statistical Association and National Institute of Statistical Sciences.

Vincenzo Esposito Vinzi, president-elect of ISBIS, presented the award to Hong, along with certificates to the following finalists:

  • Nicolás Ballarine, Universidad Nacional de Rosario, Argentina
    Properties of the Hotelling’s T2-Chart with Supplementary Run Rules Using Markov Chains
  • Yohan Dharmawan, Institut Teknologi Bandung, Indonesia
    Persistence Process of Being a Good Customer
  • Cha-Chi Fan, U.S. Energy Information Administration, Washington, DC
    Uncertainty Assessments of a Daily Electricity System Demand Estimation Model
  • Yang Feng, Columbia University
    Likelihood Adaptively Modified Penalties and Their Properties
  • Carolina García-Matos, Universidad Politécnica de Madrid, Madrid, Spain
    Decomposing a Vector of Series: Application to the Extraction of Common and Specific Unobserved Components in Liberalized Power Markets
  • Rizky Saputra, Institut Teknologi Bandung, Indonesia
    The Coverage Properties of Improved Prediction Intervals Incorporating Utility Function
  • Natchalee Srimaneekarn, Chulalangkorn University, Bangkok, Thailand
    Development of a Drug Expiration Prediction Model
  • Chaiyanun Tharasook, Chulalongkorn University, Bangkok, Thailand
    A Computational Method for Ordinal Probit Regression Based on Polar Metropolis
  • Nuttanan Wichitaksorn, University of Sydney Business School, Sydney, Australia
    Bayesian Analysis of Multivariate Regression Model Through Elliptical Copulas and Scale Mixtures of Normal