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  1. 14 nov. 2013 · But are our predictions any good? Is there hope for improvement? In this book the author examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy, ever-increasing data. Many predictions fail, often at great cost to society, because most of us have a poor understanding of ...

  2. 3 févr. 2015 · Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty.

    • Nate Silver
    • $13.5
    • Penguin Books
  3. 16 déc. 2013 · The Signal and the Noise begins dramatically with a negative message: some statistical forecasting models are unsuccessful. Chapter 1 is called ‘A Catastrophic Failure of Prediction,’ and the failure in question is the collapse of the market for triple-A Collateralized Debt Obligations (CDO) during the 2008–2009 financial ...

    • Lisa R. Goldberg
    • 2014
  4. BOOK REVIEWS. you thinking about some of the most fundamental questions that underlie the prediction problem. How can we apply our judgment to the data— without succumbing to our biases? When does market competition make forecasts better—and how can it make them worse?

    • Ken Simonson
    • 2013
  5. The Signal and the Noise: Why So Many Predictions Fail--but Some Don't Broché – 3 février 2015. Édition en Anglais de Nate Silver (Auteur) 4,4 3 553 évaluations. Afficher tous les formats et éditions. "One of the more momentous books of the decade." —The New York Times Book Review.

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  6. Volume 81, Issue 2 p. 332-333. Short Book Review. The Signal and the Noise: Why So Many Predictions Fail – But Some Don't by Nate Silver. Norman R. Draper, First published: 28 August 2013. https://doi.org/10.1111/insr.12020_24. Read the full text. PDF. Tools.

  7. What lies behind their success? Are they good--or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions.

    • Nate Silver