Prediction Revisited
eBook - PDF

Prediction Revisited

The Importance of Observation

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Prediction Revisited

The Importance of Observation

About this book

A thought-provoking and startlingly insightful reworking of the science of prediction

In Prediction Revisited: The Importance of Observation, a team of renowned experts in the field of data-driven investing delivers a ground-breaking reassessment of the delicate science of prediction for anyone who relies on data to contemplate the future. The book reveals why standard approaches to prediction based on classical statistics fail to address the complexities of social dynamics, and it provides an alternative method based on the intuitive notion of relevance.

The authors describe, both conceptually and with mathematical precision, how relevance plays a central role in forming predictions from observed experience. Moreover, they propose a new and more nuanced measure of a prediction's reliability. Prediction Revisited also offers:

  • Clarifications of commonly accepted but less commonly understood notions of statistics
  • Insight into the efficacy of traditional prediction models in a variety of fields
  • Colorful biographical sketches of some of the key prediction scientists throughout history
  • Mutually supporting conceptual and mathematical descriptions of the key insights and methods discussed within

With its strikingly fresh perspective grounded in scientific rigor, Prediction Revisited is sure to earn its place as an indispensable resource for data scientists, researchers, investors, and anyone else who aspires to predict the future from the data-driven lessons of the past.

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Yes, you can access Prediction Revisited by Mark P. Kritzman,David Turkington,Megan Czasonis in PDF and/or ePUB format, as well as other popular books in Business & Investments & Securities. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2022
Print ISBN
9781119895589
eBook ISBN
9781119895602

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Timeline of Innovations
  6. Essential Concepts
  7. Preface
  8. 1 Introduction
  9. 2 Observing Information
  10. 3 Co‐occurrence
  11. 4 Relevance
  12. 5 Fit
  13. 6 Reliability
  14. 7 Toward Complexity
  15. 8 Foundations of Relevance
  16. Concluding Thoughts
  17. Index
  18. EULA