Ph.D, University of Southern California
Siva Tian holds a Ph.D. (2009) in Quantitative Psychology and a Master (2007) in Statistics from the University of Southern California. She conducts research in statistical methods with applications in the areas of medical imaging and social sciences.
High-dimensional statistics, functional data analysis, robust methods, machine learning
Tian, T. S., James, G. M., Wilcox, R. R. (2009). A Multivariate Adaptive Stochastic Search Method for Dimensionality Reduction in Classification. Annals of Applied Statistics. (in press)
Marmolejo-Ramos, F., Tian, T. S. (2009). The Shifting Boxplot: A Boxplot Based on Essential Summary Statistics around the Mean. International Journal of Psychological Research. (in press)
Wilcox, R., Tian, T. (2008). Comparing Dependent Correlations: Dealing with Non-Normality. Journal of General Psychology, 135, 105-112.
Tian, T., Wilcox, R. R. (2007). A Comparison of Two Rank Tests in Repeated Measures Designs. Journal of Modern and Applied Statistical Methods, 6(1), 331-335.