Faculty members are prolific in a variety of statistical and interdisciplinary research collaborations producing 45 publications in 2012.

Bayesian Inference

  • Christopher T. Franck
  • Feng Guo
  • Ina Hoeschele
  • Leanna L. House
  • Inyoung Kim
  • Scotland C. Leman
  • Xiaowei Wu
  • Hongxiao Zhu

 

Big Data and Data Mining

  • Xinwei Deng
  • Feng Guo
  • Ina Hoeschele
  • Leanna L. House
  • Inyoung Kim
  • Scotland C. Leman
  • Xiaowei Wu
  • Hongxiao Zhu

 

Bioinformatics, Genomics and Statistical Genetics

Statistical Geneticists are trained both in Statistics and in Genetics (molecular, clinical, population). Statistical geneticists apply and develop statistical methods for the identification of genes implicated in the health of humans, companion animals and model organisms and in the economic value of plants and animals, the evolution of genes, genomes and species, and the design and analysis of DNA, transcriptomics, epigenomics, proteomics and metabolomics data/experiments. For the study of complex diseases in humans and model organisms, a systems-level approach is taken, termed Systems Genetics or Genetical Systems Biology. There is strong overlap with the fields of Bioinformatics and Genomics.

  • Christopher T. Franck
  • Ina Hoeschele
  • Leanna L. House
  • Inyoung Kim
  • Xiaowei Wu

 

Biological and Agricultural Applications

  • Pang Du
  • Inyoung Kim

 

Biostatistics

  • Pang Du
  • Christopher T. Franck
  • Feng Guo
  • Ina Hoeschele
  • Inyoung Kim
  • Hongxiao Zhu

 

Data Visualization

  • Leanna L. House

 

Design of Experiments

  • Xinwei Deng
  • JP Morgan
  • Anne Ryan Driscoll
  • G. Geoffrey Vining

 

Environmental and Spatial Statistics

  • Feng Guo

 

Functional Data Analysis

  • Pang Du
  • Leanna L. House
  • Inyoung Kim
  • Hongxiao Zhu

 

Mathematical Statistics

  • George R. Terrell

 

Measurement Error/Mixed Models

  • Pang Du
  • Feng Guo
  • Inyoung Kim
  • G. Geoffrey Vining
  • Hongxiao Zhu

 

Model Selection

  • Xinwei Deng
  • Pang Du
  • Christopher T. Franck
  • Inyoung Kim
  • Hongxiao Zhu

 

Non-parametric/Semi-parametric Statistics

  • Pang Du
  • Leanna L. House
  • Inyoung Kim
  • Hongxiao Zhu

 

Reliability/Survival Analysis

  • Pang Du
  • Feng Guo
  • Yili Hong
  • G. Geoffrey Vining

 

Response Surface Methodology

  • G. Geoffrey Vining

 

Six Sigma

  • William H. Woodall

 

Spline and Kernel Methods

As two popular smoothers, splines and kernels provide flexible nonparametric models  for regression, density estimation, hazard estimation, and a variety of other problems. Splines smooth the data via piece-wise polynomial basis functions; kernels smooth the data via a kernel function weighing the data locally in an appropriate fashion. Both methods can deal with data of multiple dimensions.

  • Pang Du
  • Inyoung Kim

 

Statistical Communications and Collaborations

Statisticians recognize that there is room for improvement in their communication and collaboration activities. This research area targets how to systematically identify opportunities for improvement and to capitalize on them using video technology and pedagogical techniques. A researcher in this area designs experiments or studies, gathers data, analyzes data, interprets the results, and uses the results to identify best practices in statistical communication and collaboration. In other words, a researcher in this area uses statistical thinking to systematically improve the process of applying statistics to solve real-world problems.

 

Statistical Process Control/Profile Monitoring

  • Anne Ryan Driscoll
  • G. Geoffrey Vining
  • William H. Woodall

 

Statistics Education

Statistics Education is a field of study that focuses on the teaching and learning of statistical concepts and ideas.  Statistics educators research how students understand, process, and interpret these concepts, and emphasize statistical thinking and literacy skills as key characteristics of effective statistics students.

  • Leanna L. House
  • Jane Robertson Evia
  • Anne Ryan Driscoll

 

Time Series

  • Pang Du

 

Transportation Studies

  • Feng Guo

Contact Information

Department of Statistics (MC0439)
Hutcheson Hall, RM 406-A, Virginia Tech
250 Drillfield Drive
Blacksburg, VA 24061

Phone: 540-231-5657
Fax: 540-231-3863

Department Head:
Ronald D. Fricker, Jr.