Chris Fraley

About

Chris Fraley is a member of the research group at Tableau with a background in statistical computing. Her past experience includes a research position in statistics at the University of Washington, concurrent with R & D at Insightful Corp (from its early days as Statistical Sciences Inc), which was acquired by TIBCO/Spotfire. She has contributed to a number of areas of applied statistics, including model-based clustering, functional data analysis, ensemble weather forecasting, and gene regulatory networks. She is the principal author of several widely-used R packages.

C. Fraley and  A. E. Raftery, Model-based clustering, discriminant analysis and density estimation, Journal of the American Statistical Association (2002).

D. B. Clarkson, C. Fraley, C. Gu, and J. O. Ramsay, S+ Functional Data Analysis, Springer (2005).

C. Fraley and T. Hesterberg, Least-angle regression and LASSO for large datasets, Statistical Analysis and Data`Mining (2009).

C. Fraley,  A. E. Raftery, T. Gneiting, J. M. Sloughter and V. J. Berrocal, Probabilistic weather forecasting in R, The R Journal (2011).

Areas of interest

• Statistical Computing
• R Language
• Machine Learning
• Linear Algebra
• Matrix Computations
• Numerical Methods