Search results
Results from the WOW.Com Content Network
She was elected as a Fellow of the American Statistical Association in 2020. [19] She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience".
He joined Stanford University in 1994 as Associate Professor in Statistics and Biostatistics. He was promoted to full Professor in 1999. During the period 2006–2009, he was the chair of the Department of Statistics at Stanford University.
James is a noted scholar and researcher. His extensive published works include numerous articles, conference proceedings, and book chapters focused on statistical and machine learning methodologies. His work has been cited more than 20,000 times. James is also co-author of the extremely successful textbook, An Introduction to Statistical Learning.
Robert Tibshirani FRS FRSC (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.
Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.
In 2003, Columbia University launched The Journal of Data Science. [25] In 2014, the American Statistical Association's Section on Statistical Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science. [31]
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.
From 1981 to 1984 he was visiting professor at the University of California, Berkeley. In 1982 he was appointed Professor of Statistics at Stanford University. [4] In 1984 he was elected as a Fellow of the American Statistical Association. [6] In 2002 he was awarded the SIGKDD Innovation Award by the Association for Computing Machinery (ACM). [7]