Bradley Efron

Results: 73



#Item
21The Estimation of Prediction Error: Covariance Penalties and Cross-Validation Bradley Efron ABSTRACT Having constructed a data-based estimation rule, perhaps a logistic regression or a classification tree, the statistici

The Estimation of Prediction Error: Covariance Penalties and Cross-Validation Bradley Efron ABSTRACT Having constructed a data-based estimation rule, perhaps a logistic regression or a classification tree, the statistici

Add to Reading List

Source URL: statweb.stanford.edu

Language: English - Date: 2009-10-02 15:59:10
    22A 250-Year Argument Belief, Behavior, and the Bootstrap Bradley Efron Stanford University The Greater World of Mathematics and Science

    A 250-Year Argument Belief, Behavior, and the Bootstrap Bradley Efron Stanford University The Greater World of Mathematics and Science

    Add to Reading List

    Source URL: statweb.stanford.edu

    Language: English - Date: 2013-03-27 14:34:11
      23False Discovery Rates and Copy Number Variation Bradley Efron and Nancy Zhang Stanford University

      False Discovery Rates and Copy Number Variation Bradley Efron and Nancy Zhang Stanford University

      Add to Reading List

      Source URL: statweb.stanford.edu

      Language: English - Date: 2010-06-03 17:14:00
        24BAYESIANS, FREQUENTISTS, AND PHYSICISTS BRADLEY EFRON Phystat2003 brought statisticians together with particle physicists, astrophysicists, and cosmologists. This paper, which is taken from the text of the keynote addres

        BAYESIANS, FREQUENTISTS, AND PHYSICISTS BRADLEY EFRON Phystat2003 brought statisticians together with particle physicists, astrophysicists, and cosmologists. This paper, which is taken from the text of the keynote addres

        Add to Reading List

        Source URL: statweb.stanford.edu

        Language: English - Date: 2008-07-03 14:19:25
          25Empirical Bayes modeling, computation, and accuracy Bradley Efron∗† Stanford University Abstract This article is intended as an expositional overview of empirical Bayes modeling

          Empirical Bayes modeling, computation, and accuracy Bradley Efron∗† Stanford University Abstract This article is intended as an expositional overview of empirical Bayes modeling

          Add to Reading List

          Source URL: statweb.stanford.edu

          Language: English - Date: 2013-07-29 17:58:25
            26Bayesian inference and the parametric bootstrap Bradley Efron∗ Stanford University Abstract The parametric bootstrap can be used for the efficient computation of Bayes posterior

            Bayesian inference and the parametric bootstrap Bradley Efron∗ Stanford University Abstract The parametric bootstrap can be used for the efficient computation of Bayes posterior

            Add to Reading List

            Source URL: statweb.stanford.edu

            Language: English - Date: 2012-09-25 19:33:36
              27Row and Column Correlations (Are a set of microarrays independent of each other?) Bradley Efron∗† Stanford University Abstract

              Row and Column Correlations (Are a set of microarrays independent of each other?) Bradley Efron∗† Stanford University Abstract

              Add to Reading List

              Source URL: statweb.stanford.edu

              Language: English - Date: 2008-03-04 13:37:56
                28Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis Bradley Efron Abstract Current scientific techniques in genomics and image processing routinely produce hypothesis testing problems with hundr

                Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis Bradley Efron Abstract Current scientific techniques in genomics and image processing routinely produce hypothesis testing problems with hundr

                Add to Reading List

                Source URL: statweb.stanford.edu

                Language: English - Date: 2007-04-27 00:18:33
                  29Estimation and Accuracy after Model Selection Bradley Efron∗† Stanford University Abstract Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider

                  Estimation and Accuracy after Model Selection Bradley Efron∗† Stanford University Abstract Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider

                  Add to Reading List

                  Source URL: statweb.stanford.edu

                  Language: English - Date: 2014-06-03 15:24:00
                    30Model Selection, Estimation, and Bootstrap Smoothing Bradley Efron Stanford University

                    Model Selection, Estimation, and Bootstrap Smoothing Bradley Efron Stanford University

                    Add to Reading List

                    Source URL: statweb.stanford.edu

                    Language: English - Date: 2012-09-18 14:58:29