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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, April of 2018 ‧
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Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and 'black box' settings, with computed examples.

Predictive Statistics

Analysis And Inference Beyond Models

by Jennifer L. (University Of Nebraska, Lincoln) Clarke e Bertrand S. (University Of Nebraska, Lincoln) Clarke

Property Description
ISBN: 9781107028289
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: April of 2018
Language: English
Cover: Hardcover
Pages: 656
Format: Book
Collection: Cambridge Series In Statistical And Probabilistic Mathematics
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9781107028289