Lingzhou Xue

I started pursuing a Ph.D. in statistics in 2008 and got the tenure promotion in 2019. My research has been focused on the development of new methods, theory, and algorithms for statistical learning by exploiting the underlying low-dimensional structure to analyze the high-dimensional and complex data. This book provides a comprehensive summary of the rapidly evolving research on high-dimensional statistics. Especially, this book shows how the sparsity assumption allows us to develop new methods and theory for sparse regression, matrix decomposition, sparse multivariate analysis, graphical models, and compressed sensing. As pointed out by an old African proverb, if we want to go quickly, go alone, but if we want to go far, go together. I do hope that more talented researchers will come together and move the field of high-dimensional statistics forward.