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  1. BIO. Bradley Efron (Minnesota, United States; 1938) is Professor of Statistics and Biomedical Data Science at Stanford University. He studied mathematics at California Institute of Technology (Caltech) before completing an MS in statistics at Stanford University in 1962. That same year, he began his doctoral studies in statistics under the ...

  2. 3 de abr. de 2008 · The Science of Bradley Efron: Selected Papers. Carl N. Morris, Robert Tibshirani. Springer New York, Apr 3, 2008 - Mathematics - 499 pages.

  3. Bradley Efron e Trevor Hastie fazem uma excelente revisão dos métodos que revolucionaram a estatítica do último século. A ciência dos dados, como resultado da interação Estatística * Ciência da Computação, é abordada de maneira muito natural (algoritmos e inferência). Livro imprescindível para a biblioteca do estatístico.

  4. 30 de dez. de 2022 · Tokoh Statistika: Bradley Efron lahir di Minnesota, Amerika Serikat pada tanggal 24 Mei 1938. Ayah beliau adalah seorang sales dan sopir truk yang menyukai matematika (Holmes, Morris, and Tibshirani 2003, 268). Sewaktu kecil Bradley Efron menyaksikan ayahnya mengolah skor kotak bisbol yang membuat dirinya tertarik pada matematika (Warren and ...

  5. 21 de nov. de 2023 · Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future.’ Carl Morris - Harvard University, Massachusetts 'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction.

  6. 2. False Discovery Rates. Local false discovery rates, Efron et al. (2001), Efron and Tibshirani (2002), are a variant of Benjamini and Hochberg’s (1995) “tail area” false discovery rates. This section relates the two ideas, reviews a few basic properties, and presents some general guidelines for interpreting fdr’s.

  7. The editors chose 21 prominent works to include in this volume; in his Foreword, Efron calls these his ‘best work so far’ (!). … However, what makes this volume a treat is the array of 21 distinguished researchers that have enlisted themselves to introduce—and put in perspective—each of these works.