Charles Stone
Professor Emeritus of Statistics
Department of Statistics
(510) 642-2781

Research Expertise and Interest

statistical modeling with splines, statistical education


Charles Stone's recent research has involved the use of polynomial splines in statistical modeling. In particular, his students and he have developed theory, methodology and software for regression, logistic regression, density estimation, spectral density estimation, survival analysis, and multiple classification. Previously, he was involved in related research that led to the development and distribution of CART Software for classification and regression trees. He is an author of Classification and Regression Trees, Brownian Motion and Classical Potential Theory, Introduction to Probability Theory, Introduction to Statistical Theory, Introduction to Stochastic Processes, and A Course in Probability and Statistics. He is a member of the National Academy of Sciences.

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