Next Article in Journal
Risk Minimization for Insurance Products via F-Doubly Stochastic Markov Chains
Previous Article in Journal
A Unified Pricing of Variable Annuity Guarantees under the Optimal Stochastic Control Framework
Previous Article in Special Issue
High-Frequency Financial Econometrics
Article Menu

Export Article

Open AccessBook Review
Risks 2016, 4(3), 24;

Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner

University of St. Gallen, Institute of Mathematics and Statistics, Bodanstrasse 6, 9000 St. Gallen, Switzerland
Academic Editor: Ola Mahmoud
Received: 15 June 2016 / Accepted: 16 June 2016 / Published: 5 July 2016
(This article belongs to the Collection Book Review Section)
Full-Text   |   PDF [305 KB, uploaded 5 July 2016]   |  
Note: In lieu of an abstract, this is an excerpt from the first page.


Let me say from the outset that this is an excellent book to read. It is not only informative, as it should be for a book on forecasting, but it is highly entertaining.[...] View Full-Text

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Buncic, D. Superforecasting: The Art and Science of Prediction. By Philip Tetlock and Dan Gardner. Risks 2016, 4, 24.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Risks EISSN 2227-9091 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top