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Robert Tibshirani
Researcher at Stanford University
Publications - 620
Citations - 359457
Robert Tibshirani is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Gene expression profiling. The author has an hindex of 147, co-authored 593 publications receiving 326580 citations. Previous affiliations of Robert Tibshirani include University of Toronto & University of California.
Papers
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Book ChapterDOI
Linear Methods for Classification
TL;DR: This chapter revisits the classification problem and focuses on linear methods for classification, which means that the boundaries of these regions can be rough or smooth, depending on the prediction function.
Journal ArticleDOI
Cancer characterization and feature set extraction by discriminative margin clustering.
TL;DR: Discriminative margin clustering is a new technique for analyzing high dimensional quantitative datasets, specially applicable to gene expression data from microarray experiments related to cancer, which yields highly specialized tumor subtypes which are similar in terms of potential diagnostic markers.
Posted Content
Prediction and outlier detection in classification problems
TL;DR: This work considers the multi‐class classification problem when the training data and the out‐of‐sample test data may have different distributions and proposes a method called BCOPS (balanced and conformal optimized prediction sets), which tries to optimize the out-of-sample performance and estimates the outlier detection rate of a given procedure.
Journal ArticleDOI
CD81 Protein is Expressed at High Levels in Normal Germinal Center B cells and in Subtypes of Human Lymphomas
Robert F. Luo,Shuchun Zhao,Robert Tibshirani,June Helen Myklebust,Mrinmoy Sanyal,Rosemary Fernandez,Dita Gratzinger,Robert J. Marinelli,Zhi Shun Lu,Anna K. Wong,Ronald Levy,Shoshana Levy,Yasodha Natkunam +12 more
TL;DR: High-dimensional flow cytometry analysis of normal hematopoietic tissue confirmed that among B- and T-cell subsets, germinal center B cells showed the highest level of CD81 expression and its role in the risk stratification of patients with diffuse large B-cell lymphoma.
Journal ArticleDOI
A family of proportional- and additive-hazards models for survival data.
Robert Tibshirani,Antonio Ciampi +1 more
TL;DR: A family of proportional- and additive-hazards models for the analysis of grouped survival data is developed and the time trends prove to be useful in an example in which the hazards of the two groups cross.