4 edition of **Large-scale inference** found in the catalog.

- 198 Want to read
- 12 Currently reading

Published
**2010**
by Cambridge University Press in Cambridge, New York
.

Written in English

- Bayesian statistical decision theory

**Edition Notes**

Includes bibliographical references (p. 251-257) and index.

Statement | Bradley Efron |

Series | Institute of mathematical statistics monographs -- 1, Institute of Mathematical Statistics monographs -- 1. |

Classifications | |
---|---|

LC Classifications | QA279.5 .E39 2010 |

The Physical Object | |

Pagination | xii, 263 p. : |

Number of Pages | 263 |

ID Numbers | |

Open Library | OL25033801M |

ISBN 10 | 0521192498 |

ISBN 10 | 9780521192491 |

LC Control Number | 2011282008 |

OCLC/WorldCa | 639166324 |

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Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs) Reprint by: Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction.

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem/5.

'In the last decade, Efron has played a leading role in laying down the foundations of large-scale inference, not only in bringing back and developing old ideas, but also linking them Large-scale inference book more recent developments, including the theory of false discovery rates and Bayes by: Large-Scale Large-scale inference book Empirical Bayes Methods for Estimation, Testing, and Prediction by Bradley Efron - Books on Google Play.

Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction - Ebook written by Bradley Efron.

Read this book using Google Play Books app on your PC, android, iOS devices. New difficulties also arise, easily leading to flawed inferences.

This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. LargeScale Inference byEfron Hardcover – January 1, by Efron (Author) See all formats and editions Hide other formats and editions.

Price New from Used from Hardcover, January 1, Author: Efron. also arise, easily leading to ﬂawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques.

Emphasis isFile Size: KB. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical : Bradley Efron.

2 Large-Scale Hypothesis Testing 15 A Microarray Example 15 Bayesian Approach 17 Empirical Bayes Estimates 20 Fdr(Z) as a Point Estimate 22 Independence versus Correlation 26 Learning from the Experience of Others II 27 Notes 28 3 Signiﬁcance Testing Algorithms 30 p-Values and z-Values 31 Adjusted p-Values and the FWER Typical large-scale applications have been more concerned with testing than esti-mation.

If judged by chapter titles, the book seems to share this imbalance but that is misleading. Empirical Bayes blurs the line between testing and estimation as well as between frequentism and Bayesianism.

Much of what follows is an attempt to say. Buy a cheap copy of Large-Scale Inference: Empirical Bayes book by Bradley Efron. Free shipping over $ Buy a cheap copy of Large-Scale Inference: Empirical Bayes book by Bradley Efron. Free shipping over $ We personally assess every book's quality and offer rare, out-of-print treasures.

We deliver the joy of reading in %. Buy Large-Scale Inference (Institute of Mathematical Statistics Monographs) by Bradley Efron (ISBN: ) from Amazon's Book Store. /5(8). Large-Scale Inference by Bradley Efron,available at Book Depository with free delivery worldwide/5(15).

New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs series) by Bradley Efron.

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem.

Large-scale Inference by Brad Efron is the first IMS Monograph in this new series, coordinated by David Cox and published by Cambridge University Press. Since I read this book immediately after Cox’ and Donnelly’s Principles of Applied Statistics, I was thinking of drawing a parallel between the two books.

This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification.

14 Postwar Statistical Inference and Methodology Part III Twenty-First-Century Topics 15 Large-Scale Hypothesis Testing and FDRs Large-Scale Testing False-Discovery Rates Empirical Bayes Large-Scale Testing Local False-Discovery Rates Choice of the Null Distribution Relevance Description - Large-Scale Inference by Bradley Efron We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem.

Large-scale and network data. Special considerations when dealing with large-scale and network data. In this section of the tutorial, we focus on complexities that occur in causal studies using common kinds of datasets from online services.

We will provide examples of some well-designed studies and use them to review some of the more complex. Higher Criticism for Large-Scale Inference, Especially for Rare and Weak Eﬀects David Donoho and Jiashun Jin Abstract.

In modern high-throughput data analysis, researchers per-form a large number of statistical tests, expecting to ﬁnd perhaps a small fraction of signiﬁcant eﬀects against a predominantly null back-ground.Get this from a library!

Large-scale inference: empirical Bayes methods for estimation, testing, and prediction. [Bradley Efron] -- We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each.This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining.

A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples.